Runtime model results
Per-spec NNLS fits of test runtime against opcode count — one block per (target opcode, test, model combo, client). Use the filters to narrow to a single opcode or client.
ADD · test_arithmetic · besu
nobs 3773
R² 0.6825
coef (ms) 1.005e-05
p-value 1.00e-03
95% CI [9.841e-06, 1.027e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.683
Model: NNLS Adj. R-squared: 0.682
No. Observations: 3773 RMSE: 72.12
Df Residuals: 3771 MAE: 57.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 116.9171 3.6765 0.001 109.6892 123.6816
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADD · test_arithmetic · erigon
nobs 253
R² 0.9356
coef (ms) 3.007e-06
p-value 1.00e-03
95% CI [2.903e-06, 3.096e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.936
Model: NNLS Adj. R-squared: 0.935
No. Observations: 253 RMSE: 8.30
Df Residuals: 251 MAE: 6.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.0197 1.7344 0.001 11.8601 18.5638
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADD · test_arithmetic · ethrex
nobs 1606
R² 0.793
coef (ms) 1.11e-06
p-value 1.00e-03
95% CI [1.082e-06, 1.138e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.793
Model: NNLS Adj. R-squared: 0.793
No. Observations: 1606 RMSE: 5.97
Df Residuals: 1604 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.1721 0.4778 0.001 9.2614 11.1320
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADD · test_arithmetic · geth
nobs 4224
R² 0.7353
coef (ms) 4.162e-06
p-value 1.00e-03
95% CI [4.088e-06, 4.241e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.735
Model: NNLS Adj. R-squared: 0.735
No. Observations: 4224 RMSE: 26.28
Df Residuals: 4222 MAE: 19.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.1248 1.3052 0.001 42.5938 47.6455
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADD · test_arithmetic · nethermind
nobs 1177
R² 0.8413
coef (ms) 2.465e-06
p-value 1.00e-03
95% CI [2.389e-06, 2.528e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.841
No. Observations: 1177 RMSE: 11.27
Df Residuals: 1175 MAE: 7.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.5486 1.2977 0.001 15.2980 20.3335
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADD · test_arithmetic · reth
nobs 99
R² 0.7828
coef (ms) 9.687e-07
p-value 1.00e-03
95% CI [8.822e-07, 1.056e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.783
Model: NNLS Adj. R-squared: 0.781
No. Observations: 99 RMSE: 5.37
Df Residuals: 97 MAE: 3.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.6759 1.3720 0.001 5.0522 10.3686
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SUB · test_arithmetic · besu
nobs 3773
R² 0.646
coef (ms) 1.063e-05
p-value 1.00e-03
95% CI [1.04e-05, 1.087e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.646
Model: NNLS Adj. R-squared: 0.646
No. Observations: 3773 RMSE: 82.79
Df Residuals: 3771 MAE: 68.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 110.4450 3.9912 0.001 102.5301 117.7584
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SUB · test_arithmetic · erigon
nobs 253
R² 0.9292
coef (ms) 3.027e-06
p-value 1.00e-03
95% CI [2.923e-06, 3.121e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.929
Model: NNLS Adj. R-squared: 0.929
No. Observations: 253 RMSE: 8.79
Df Residuals: 251 MAE: 7.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.1957 1.7507 0.001 12.0585 18.9444
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SUB · test_arithmetic · ethrex
nobs 1606
R² 0.8006
coef (ms) 1.111e-06
p-value 1.00e-03
95% CI [1.082e-06, 1.14e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.801
Model: NNLS Adj. R-squared: 0.800
No. Observations: 1606 RMSE: 5.84
Df Residuals: 1604 MAE: 4.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.8848 0.4762 0.001 9.9924 11.8342
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SUB · test_arithmetic · geth
nobs 4224
R² 0.7277
coef (ms) 3.981e-06
p-value 1.00e-03
95% CI [3.905e-06, 4.054e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.728
Model: NNLS Adj. R-squared: 0.728
No. Observations: 4224 RMSE: 25.63
Df Residuals: 4222 MAE: 18.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.6906 1.3099 0.001 45.1166 50.1886
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SUB · test_arithmetic · nethermind
nobs 1177
R² 0.8293
coef (ms) 2.477e-06
p-value 1.00e-03
95% CI [2.414e-06, 2.543e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 1177 RMSE: 11.83
Df Residuals: 1175 MAE: 8.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.8080 1.0092 0.001 14.8187 18.8073
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SUB · test_arithmetic · reth
nobs 99
R² 0.7797
coef (ms) 9.513e-07
p-value 1.00e-03
95% CI [8.632e-07, 1.053e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.780
Model: NNLS Adj. R-squared: 0.777
No. Observations: 99 RMSE: 5.32
Df Residuals: 97 MAE: 3.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.1394 1.5645 0.001 6.9463 13.1352
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MUL · test_arithmetic · besu
nobs 3773
R² 0.5171
coef (ms) 9.881e-06
p-value 1.00e-03
95% CI [9.584e-06, 1.017e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.517
Model: NNLS Adj. R-squared: 0.517
No. Observations: 3773 RMSE: 75.38
Df Residuals: 3771 MAE: 57.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 111.4368 3.5971 0.001 104.4123 118.1713
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MUL · test_arithmetic · erigon
nobs 253
R² 0.4417
coef (ms) 3.232e-06
p-value 1.00e-03
95% CI [2.362e-06, 3.658e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.442
Model: NNLS Adj. R-squared: 0.440
No. Observations: 253 RMSE: 28.68
Df Residuals: 251 MAE: 8.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.6544 10.7991 0.001 14.0009 52.1421
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MUL · test_arithmetic · ethrex
nobs 1606
R² 0.8153
coef (ms) 1.618e-06
p-value 1.00e-03
95% CI [1.577e-06, 1.659e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.815
No. Observations: 1606 RMSE: 6.08
Df Residuals: 1604 MAE: 4.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6672 0.5044 0.001 11.6249 13.6880
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MUL · test_arithmetic · geth
nobs 4224
R² 0.8009
coef (ms) 4.723e-06
p-value 1.00e-03
95% CI [4.647e-06, 4.792e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.801
Model: NNLS Adj. R-squared: 0.801
No. Observations: 4224 RMSE: 18.59
Df Residuals: 4222 MAE: 13.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.2333 0.9605 0.001 36.3002 40.2982
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MUL · test_arithmetic · nethermind
nobs 1177
R² 0.8512
coef (ms) 5.535e-06
p-value 1.00e-03
95% CI [5.404e-06, 5.664e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.851
No. Observations: 1177 RMSE: 18.27
Df Residuals: 1175 MAE: 14.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.5304 1.5134 0.001 23.4971 29.4930
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MUL · test_arithmetic · reth
nobs 99
R² 0.8099
coef (ms) 1.113e-06
p-value 1.00e-03
95% CI [1.012e-06, 1.228e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.808
No. Observations: 99 RMSE: 4.26
Df Residuals: 97 MAE: 3.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.4012 1.2830 0.001 7.6552 12.8283
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DIV · test_arithmetic · besu
nobs 3773
R² 0.7098
coef (ms) 1.515e-05
p-value 1.00e-03
95% CI [1.487e-05, 1.545e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.710
Model: NNLS Adj. R-squared: 0.710
No. Observations: 3773 RMSE: 76.49
Df Residuals: 3771 MAE: 62.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 141.6081 3.4866 0.001 134.5772 148.2109
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DIV · test_arithmetic · erigon
nobs 253
R² 0.897
coef (ms) 1.015e-05
p-value 1.00e-03
95% CI [9.732e-06, 1.054e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.897
Model: NNLS Adj. R-squared: 0.897
No. Observations: 253 RMSE: 27.15
Df Residuals: 251 MAE: 23.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.4342 5.3505 0.001 13.5381 34.0476
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DIV · test_arithmetic · ethrex
nobs 1606
R² 0.8401
coef (ms) 9.333e-06
p-value 1.00e-03
95% CI [9.111e-06, 9.564e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.840
No. Observations: 1606 RMSE: 32.14
Df Residuals: 1604 MAE: 27.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.4363 3.1408 0.001 65.8982 78.6629
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DIV · test_arithmetic · geth
nobs 4224
R² 0.7986
coef (ms) 9.499e-06
p-value 1.00e-03
95% CI [9.352e-06, 9.64e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.799
Model: NNLS Adj. R-squared: 0.799
No. Observations: 4224 RMSE: 37.66
Df Residuals: 4222 MAE: 30.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 75.5336 2.0125 0.001 71.7994 79.5681
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DIV · test_arithmetic · nethermind
nobs 1177
R² 0.6413
coef (ms) 7.754e-06
p-value 1.00e-03
95% CI [7.34e-06, 8.19e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.641
Model: NNLS Adj. R-squared: 0.641
No. Observations: 1177 RMSE: 45.78
Df Residuals: 1175 MAE: 36.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 129.0331 6.2919 0.001 116.3457 140.4218
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DIV · test_arithmetic · reth
nobs 99
R² 0.8305
coef (ms) 7.01e-06
p-value 1.00e-03
95% CI [6.317e-06, 7.706e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.829
No. Observations: 99 RMSE: 25.00
Df Residuals: 97 MAE: 21.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.0211 9.3538 0.001 36.6781 74.0580
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SDIV · test_arithmetic · besu
nobs 3773
R² 0.7851
coef (ms) 1.655e-05
p-value 1.00e-03
95% CI [1.626e-05, 1.683e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.785
Model: NNLS Adj. R-squared: 0.785
No. Observations: 3773 RMSE: 68.34
Df Residuals: 3771 MAE: 56.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 133.0047 3.5897 0.001 126.1299 140.2779
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SDIV · test_arithmetic · erigon
nobs 253
R² 0.8279
coef (ms) 1.108e-05
p-value 1.00e-03
95% CI [1.029e-05, 1.166e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.828
Model: NNLS Adj. R-squared: 0.827
No. Observations: 253 RMSE: 39.88
Df Residuals: 251 MAE: 28.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.0934 10.5518 0.001 22.3046 63.4307
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SDIV · test_arithmetic · ethrex
nobs 1606
R² 0.8414
coef (ms) 9.442e-06
p-value 1.00e-03
95% CI [9.227e-06, 9.669e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.841
No. Observations: 1606 RMSE: 32.36
Df Residuals: 1604 MAE: 27.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 75.0613 3.1357 0.001 68.8554 81.0647
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SDIV · test_arithmetic · geth
nobs 4224
R² 0.8299
coef (ms) 1.015e-05
p-value 1.00e-03
95% CI [1e-05, 1.031e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.830
No. Observations: 4224 RMSE: 36.28
Df Residuals: 4222 MAE: 30.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.2159 2.0444 0.001 75.1273 83.2356
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SDIV · test_arithmetic · nethermind
nobs 1177
R² 0.8658
coef (ms) 1.324e-05
p-value 1.00e-03
95% CI [1.294e-05, 1.353e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.866
No. Observations: 1177 RMSE: 41.13
Df Residuals: 1175 MAE: 32.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 67.5366 3.5851 0.001 60.7181 74.2561
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SDIV · test_arithmetic · reth
nobs 99
R² 0.8431
coef (ms) 8.962e-06
p-value 1.00e-03
95% CI [8.178e-06, 9.826e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.841
No. Observations: 99 RMSE: 30.52
Df Residuals: 97 MAE: 24.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.1655 11.2760 0.001 53.4124 97.1894
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SIGNEXTEND · test_arithmetic · besu
nobs 3773
R² 0.2451
coef (ms) 2.203e-05
p-value 1.00e-03
95% CI [2.082e-05, 2.324e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.245
Model: NNLS Adj. R-squared: 0.245
No. Observations: 3773 RMSE: 305.24
Df Residuals: 3771 MAE: 279.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 167.7901 14.3973 0.001 139.9899 196.1995
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SIGNEXTEND · test_arithmetic · erigon
nobs 253
R² 0.5845
coef (ms) 3.012e-06
p-value 1.00e-03
95% CI [2.674e-06, 3.229e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.585
Model: NNLS Adj. R-squared: 0.583
No. Observations: 253 RMSE: 20.05
Df Residuals: 251 MAE: 6.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.8498 5.0094 0.001 15.0975 32.9844
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SIGNEXTEND · test_arithmetic · ethrex
nobs 1606
R² 0.8187
coef (ms) 3.023e-06
p-value 1.00e-03
95% CI [2.953e-06, 3.097e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.819
Model: NNLS Adj. R-squared: 0.819
No. Observations: 1606 RMSE: 11.23
Df Residuals: 1604 MAE: 9.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.5286 0.9418 0.001 18.7564 22.3477
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SIGNEXTEND · test_arithmetic · geth
nobs 4224
R² 0.7401
coef (ms) 4.168e-06
p-value 1.00e-03
95% CI [4.091e-06, 4.248e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.740
Model: NNLS Adj. R-squared: 0.740
No. Observations: 4224 RMSE: 19.50
Df Residuals: 4222 MAE: 14.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.7275 1.0514 0.001 25.7089 29.8424
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SIGNEXTEND · test_arithmetic · nethermind
nobs 1177
R² 0.766
coef (ms) 2.173e-06
p-value 1.00e-03
95% CI [2.1e-06, 2.239e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.766
Model: NNLS Adj. R-squared: 0.766
No. Observations: 1177 RMSE: 9.48
Df Residuals: 1175 MAE: 6.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.0983 0.8798 0.001 14.4456 17.9111
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SIGNEXTEND · test_arithmetic · reth
nobs 99
R² 0.8442
coef (ms) 3.751e-06
p-value 1.00e-03
95% CI [3.434e-06, 4.051e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.844
Model: NNLS Adj. R-squared: 0.843
No. Observations: 99 RMSE: 12.72
Df Residuals: 97 MAE: 10.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.7973 4.3595 0.001 18.9313 35.5145
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXP · test_arithmetic · besu
nobs 3773
R² 0.7568
coef (ms) 0.001094
p-value 1.00e-03
95% CI [0.001073, 0.001114]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.757
Model: NNLS Adj. R-squared: 0.757
No. Observations: 3773 RMSE: 24.28
Df Residuals: 3771 MAE: 18.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 95.6895 1.5837 0.001 92.6378 98.6249
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXP · test_arithmetic · erigon
nobs 253
R² 0.1806
coef (ms) 0.0004819
p-value 1.00e-03
95% CI [0.0003609, 0.0005438]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.181
Model: NNLS Adj. R-squared: 0.177
No. Observations: 253 RMSE: 40.20
Df Residuals: 251 MAE: 9.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.9512 4.1307 0.391 0.0000 12.3446
opcount 0.0005 0.0001 0.001 0.0004 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXP · test_arithmetic · ethrex
nobs 1606
R² 0.8278
coef (ms) 0.0009211
p-value 1.00e-03
95% CI [0.0009, 0.0009419]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.828
Model: NNLS Adj. R-squared: 0.828
No. Observations: 1606 RMSE: 16.45
Df Residuals: 1604 MAE: 13.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.4770 1.4875 0.001 32.8038 38.4641
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXP · test_arithmetic · geth
nobs 4224
R² 0.6932
coef (ms) 0.0003489
p-value 1.00e-03
95% CI [0.0003408, 0.0003567]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.693
Model: NNLS Adj. R-squared: 0.693
No. Observations: 4224 RMSE: 9.09
Df Residuals: 4222 MAE: 6.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.6155 0.4782 0.001 12.6608 14.5849
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXP · test_arithmetic · nethermind
nobs 1177
R² 0
coef (ms) 0
p-value 1.00e+00
95% CI [0, 2.182e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.000
Model: NNLS Adj. R-squared: -0.001
No. Observations: 1177 RMSE: 47.90
Df Residuals: 1175 MAE: 32.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 108.5524 1.9738 0.001 102.7796 111.2402
opcount 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXP · test_arithmetic · reth
nobs 99
R² 0.8146
coef (ms) 0.0003364
p-value 1.00e-03
95% CI [0.0003053, 0.0003686]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.813
No. Observations: 99 RMSE: 6.28
Df Residuals: 97 MAE: 4.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.4310 2.0224 0.001 17.3797 25.4185
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_arithmetic · besu
nobs 3773
R² 0.5991
coef (ms) 8.305e-06
p-value 1.00e-03
95% CI [8.103e-06, 8.512e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.599
Model: NNLS Adj. R-squared: 0.599
No. Observations: 3773 RMSE: 53.63
Df Residuals: 3771 MAE: 42.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 84.6682 2.4535 0.001 79.7956 89.2830
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_arithmetic · erigon
nobs 253
R² 0.2936
coef (ms) 2.779e-06
p-value 1.00e-03
95% CI [1.907e-06, 3.574e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.294
Model: NNLS Adj. R-squared: 0.291
No. Observations: 253 RMSE: 34.03
Df Residuals: 251 MAE: 8.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.5491 10.6530 0.012 2.5908 44.4643
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_arithmetic · ethrex
nobs 1606
R² 0.8032
coef (ms) 1.144e-06
p-value 1.00e-03
95% CI [1.114e-06, 1.174e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 1606 RMSE: 4.47
Df Residuals: 1604 MAE: 3.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.9003 0.3679 0.001 7.2178 8.5909
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_arithmetic · geth
nobs 4224
R² 0.7059
coef (ms) 3.702e-06
p-value 1.00e-03
95% CI [3.621e-06, 3.778e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.706
Model: NNLS Adj. R-squared: 0.706
No. Observations: 4224 RMSE: 18.86
Df Residuals: 4222 MAE: 13.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.5856 1.0109 0.001 24.6026 28.6232
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_arithmetic · nethermind
nobs 1177
R² 0.7372
coef (ms) 1.744e-06
p-value 1.00e-03
95% CI [1.683e-06, 1.807e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.737
Model: NNLS Adj. R-squared: 0.737
No. Observations: 1177 RMSE: 8.22
Df Residuals: 1175 MAE: 6.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.7689 0.7856 0.001 10.2524 13.2746
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_arithmetic · reth
nobs 99
R² 0.7529
coef (ms) 1.062e-06
p-value 1.00e-03
95% CI [9.64e-07, 1.164e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.753
Model: NNLS Adj. R-squared: 0.750
No. Observations: 99 RMSE: 4.80
Df Residuals: 97 MAE: 3.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.7062 1.2041 0.001 4.4082 9.0892
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 127 · besu
nobs 3773
R² 0.8414
coef (ms) 1.952e-05
p-value 1.00e-03
95% CI [1.923e-05, 1.979e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.841
No. Observations: 3773 RMSE: 66.80
Df Residuals: 3771 MAE: 55.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 131.9452 3.8893 0.001 124.4575 139.6145
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 127 · erigon
nobs 253
R² 0.889
coef (ms) 1.222e-05
p-value 1.00e-03
95% CI [1.173e-05, 1.262e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.889
Model: NNLS Adj. R-squared: 0.889
No. Observations: 253 RMSE: 34.05
Df Residuals: 251 MAE: 29.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.2590 6.5849 0.001 24.7741 50.1529
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 127 · ethrex
nobs 1606
R² 0.8376
coef (ms) 1.037e-05
p-value 1.00e-03
95% CI [1.011e-05, 1.058e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.838
Model: NNLS Adj. R-squared: 0.838
No. Observations: 1606 RMSE: 35.99
Df Residuals: 1604 MAE: 30.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 82.8645 3.6380 0.001 76.5317 90.2079
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 127 · geth
nobs 4224
R² 0.8338
coef (ms) 1.158e-05
p-value 1.00e-03
95% CI [1.14e-05, 1.175e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 4224 RMSE: 40.76
Df Residuals: 4222 MAE: 34.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 87.8852 2.3737 0.001 83.2739 92.8216
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 127 · nethermind
nobs 1177
R² 0.8836
coef (ms) 1.013e-05
p-value 1.00e-03
95% CI [9.908e-06, 1.034e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.884
Model: NNLS Adj. R-squared: 0.883
No. Observations: 1177 RMSE: 28.99
Df Residuals: 1175 MAE: 22.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.3636 2.4451 0.001 39.6308 49.1584
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 127 · reth
nobs 99
R² 0.8527
coef (ms) 7.02e-06
p-value 1.00e-03
95% CI [6.409e-06, 7.626e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.851
No. Observations: 99 RMSE: 23.01
Df Residuals: 97 MAE: 19.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.7237 8.6950 0.001 34.7373 67.9577
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 191 · besu
nobs 3773
R² 0.8306
coef (ms) 1.782e-05
p-value 1.00e-03
95% CI [1.759e-05, 1.807e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.831
Model: NNLS Adj. R-squared: 0.831
No. Observations: 3773 RMSE: 63.44
Df Residuals: 3771 MAE: 52.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 132.4462 3.2040 0.001 125.9140 138.2255
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 191 · erigon
nobs 253
R² 0.8219
coef (ms) 1.183e-05
p-value 1.00e-03
95% CI [1.135e-05, 1.226e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.822
Model: NNLS Adj. R-squared: 0.821
No. Observations: 253 RMSE: 43.42
Df Residuals: 251 MAE: 30.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.2946 6.5409 0.001 22.9694 48.8982
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 191 · ethrex
nobs 1606
R² 0.8402
coef (ms) 8.849e-06
p-value 1.00e-03
95% CI [8.642e-06, 9.049e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.840
No. Observations: 1606 RMSE: 30.43
Df Residuals: 1604 MAE: 25.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 71.0173 2.9678 0.001 65.3572 76.7456
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 191 · geth
nobs 4224
R² 0.8343
coef (ms) 1.108e-05
p-value 1.00e-03
95% CI [1.092e-05, 1.124e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 4224 RMSE: 38.93
Df Residuals: 4222 MAE: 32.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.7771 2.3040 0.001 79.3184 88.0315
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 191 · nethermind
nobs 1177
R² 0.8955
coef (ms) 1.122e-05
p-value 1.00e-03
95% CI [1.101e-05, 1.143e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.895
No. Observations: 1177 RMSE: 30.22
Df Residuals: 1175 MAE: 23.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.4511 2.6142 0.001 46.3301 56.5658
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 191 · reth
nobs 99
R² 0.8484
coef (ms) 9.667e-06
p-value 1.00e-03
95% CI [8.782e-06, 1.059e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.847
No. Observations: 99 RMSE: 32.22
Df Residuals: 97 MAE: 26.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 80.1545 12.0225 0.001 57.1653 103.6467
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 255 · besu
nobs 3773
R² 0.8009
coef (ms) 1.452e-05
p-value 1.00e-03
95% CI [1.429e-05, 1.477e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.801
Model: NNLS Adj. R-squared: 0.801
No. Observations: 3773 RMSE: 57.07
Df Residuals: 3771 MAE: 47.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.7833 3.0751 0.001 96.5395 108.6882
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 255 · erigon
nobs 253
R² 0.7767
coef (ms) 1.165e-05
p-value 1.00e-03
95% CI [1.112e-05, 1.222e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.777
Model: NNLS Adj. R-squared: 0.776
No. Observations: 253 RMSE: 49.26
Df Residuals: 251 MAE: 32.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.1403 6.5086 0.001 16.2216 41.6482
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 255 · ethrex
nobs 1606
R² 0.8361
coef (ms) 6.938e-06
p-value 1.00e-03
95% CI [6.755e-06, 7.111e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.836
No. Observations: 1606 RMSE: 24.22
Df Residuals: 1604 MAE: 19.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.5348 2.5416 0.001 49.3089 59.4583
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 255 · geth
nobs 4224
R² 0.8347
coef (ms) 1.014e-05
p-value 1.00e-03
95% CI [9.994e-06, 1.028e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.835
No. Observations: 4224 RMSE: 35.57
Df Residuals: 4222 MAE: 30.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 75.8810 2.0574 0.001 71.8515 79.7482
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 255 · nethermind
nobs 1177
R² 0.9199
coef (ms) 1.034e-05
p-value 1.00e-03
95% CI [1.016e-05, 1.05e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.920
Model: NNLS Adj. R-squared: 0.920
No. Observations: 1177 RMSE: 24.06
Df Residuals: 1175 MAE: 19.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.0818 2.1700 0.001 46.0609 54.4598
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 255 · reth
nobs 99
R² 0.8313
coef (ms) 8.048e-06
p-value 1.00e-03
95% CI [7.341e-06, 8.779e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.831
Model: NNLS Adj. R-squared: 0.830
No. Observations: 99 RMSE: 28.59
Df Residuals: 97 MAE: 23.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.8179 9.8075 0.001 55.6624 93.6979
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 63 · besu
nobs 3773
R² 0.8179
coef (ms) 1.45e-05
p-value 1.00e-03
95% CI [1.428e-05, 1.472e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.818
No. Observations: 3773 RMSE: 53.96
Df Residuals: 3771 MAE: 44.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 97.7654 2.9907 0.001 91.9893 103.7824
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 63 · erigon
nobs 253
R² 0.7653
coef (ms) 9.03e-06
p-value 1.00e-03
95% CI [8.549e-06, 9.575e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.765
Model: NNLS Adj. R-squared: 0.764
No. Observations: 253 RMSE: 39.42
Df Residuals: 251 MAE: 21.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.0841 5.5363 0.001 6.1796 27.7396
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 63 · ethrex
nobs 1606
R² 0.8289
coef (ms) 5.589e-06
p-value 1.00e-03
95% CI [5.453e-06, 5.72e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 1606 RMSE: 20.02
Df Residuals: 1604 MAE: 16.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.5760 1.8375 0.001 40.8831 48.1753
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 63 · geth
nobs 4224
R² 0.8319
coef (ms) 8.183e-06
p-value 1.00e-03
95% CI [8.06e-06, 8.297e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 4224 RMSE: 29.00
Df Residuals: 4222 MAE: 24.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.1537 1.6452 0.001 59.1671 65.3868
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 63 · nethermind
nobs 1177
R² 0.9021
coef (ms) 6.904e-06
p-value 1.00e-03
95% CI [6.789e-06, 7.028e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.902
Model: NNLS Adj. R-squared: 0.902
No. Observations: 1177 RMSE: 17.93
Df Residuals: 1175 MAE: 12.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.7174 1.3915 0.001 28.8212 34.4857
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MOD · test_mod · combo 63 · reth
nobs 99
R² 0.8596
coef (ms) 6.34e-06
p-value 1.00e-03
95% CI [5.802e-06, 6.885e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.860
Model: NNLS Adj. R-squared: 0.858
No. Observations: 99 RMSE: 20.20
Df Residuals: 97 MAE: 16.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.8488 6.9785 0.001 37.9509 65.7563
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_arithmetic · besu
nobs 3773
R² 0.6306
coef (ms) 8.075e-06
p-value 1.00e-03
95% CI [7.892e-06, 8.276e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.631
Model: NNLS Adj. R-squared: 0.631
No. Observations: 3773 RMSE: 48.78
Df Residuals: 3771 MAE: 38.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 73.1462 2.3410 0.001 68.5100 77.6003
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_arithmetic · erigon
nobs 253
R² 0.6164
coef (ms) 3.505e-06
p-value 1.00e-03
95% CI [3.318e-06, 3.653e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.616
Model: NNLS Adj. R-squared: 0.615
No. Observations: 253 RMSE: 21.83
Df Residuals: 251 MAE: 7.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.7439 3.2713 0.001 13.6263 26.5577
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_arithmetic · ethrex
nobs 1606
R² 0.8043
coef (ms) 1.273e-06
p-value 1.00e-03
95% CI [1.242e-06, 1.306e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.804
No. Observations: 1606 RMSE: 4.96
Df Residuals: 1604 MAE: 3.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.0698 0.4027 0.001 9.2947 10.8510
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_arithmetic · geth
nobs 4224
R² 0.7667
coef (ms) 4.462e-06
p-value 1.00e-03
95% CI [4.383e-06, 4.547e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.767
Model: NNLS Adj. R-squared: 0.767
No. Observations: 4224 RMSE: 19.43
Df Residuals: 4222 MAE: 14.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.9000 1.1144 0.001 33.6678 37.9351
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_arithmetic · nethermind
nobs 1177
R² 0
coef (ms) 0
p-value 1.00e+00
95% CI [0, 0]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.000
Model: NNLS Adj. R-squared: -0.001
No. Observations: 1177 RMSE: 52.80
Df Residuals: 1175 MAE: 31.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 67.4562 1.5524 0.001 64.6334 70.4730
opcount 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_arithmetic · reth
nobs 99
R² 0.8078
coef (ms) 1.622e-06
p-value 1.00e-03
95% CI [1.453e-06, 1.793e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.806
No. Observations: 99 RMSE: 6.25
Df Residuals: 97 MAE: 5.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.9615 2.2101 0.001 10.7766 19.3495
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 127 · besu
nobs 3773
R² 0.8453
coef (ms) 2.013e-05
p-value 1.00e-03
95% CI [1.986e-05, 2.042e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.845
No. Observations: 3773 RMSE: 67.89
Df Residuals: 3771 MAE: 56.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 142.5919 3.7722 0.001 135.2191 149.9122
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 127 · erigon
nobs 253
R² 0.8965
coef (ms) 1.284e-05
p-value 1.00e-03
95% CI [1.234e-05, 1.331e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.896
No. Observations: 253 RMSE: 34.41
Df Residuals: 251 MAE: 30.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.1988 6.9702 0.001 18.9671 45.6038
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 127 · ethrex
nobs 1606
R² 0.8343
coef (ms) 1.055e-05
p-value 1.00e-03
95% CI [1.03e-05, 1.08e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 1606 RMSE: 37.07
Df Residuals: 1604 MAE: 31.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 81.7536 3.6132 0.001 74.7749 88.7327
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 127 · geth
nobs 4224
R² 0.8322
coef (ms) 1.217e-05
p-value 1.00e-03
95% CI [1.199e-05, 1.235e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 4224 RMSE: 43.10
Df Residuals: 4222 MAE: 36.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 87.9749 2.5504 0.001 83.0815 92.7582
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 127 · nethermind
nobs 1177
R² 0.9338
coef (ms) 1.105e-05
p-value 1.00e-03
95% CI [1.088e-05, 1.121e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.934
Model: NNLS Adj. R-squared: 0.934
No. Observations: 1177 RMSE: 23.20
Df Residuals: 1175 MAE: 18.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.5876 2.0456 0.001 44.4130 52.5465
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 127 · reth
nobs 99
R² 0.8675
coef (ms) 7.022e-06
p-value 1.00e-03
95% CI [6.457e-06, 7.574e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 99 RMSE: 21.64
Df Residuals: 97 MAE: 17.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.1200 7.9813 0.001 40.9087 72.0673
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 191 · besu
nobs 3773
R² 0.8288
coef (ms) 1.873e-05
p-value 1.00e-03
95% CI [1.846e-05, 1.899e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 3773 RMSE: 67.12
Df Residuals: 3771 MAE: 55.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 133.3911 3.6481 0.001 126.4287 140.7850
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 191 · erigon
nobs 253
R² 0.8953
coef (ms) 1.245e-05
p-value 1.00e-03
95% CI [1.196e-05, 1.296e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.895
No. Observations: 253 RMSE: 33.57
Df Residuals: 251 MAE: 29.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.6413 6.8145 0.001 19.7938 46.7785
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 191 · ethrex
nobs 1606
R² 0.8397
coef (ms) 8.991e-06
p-value 1.00e-03
95% CI [8.784e-06, 9.19e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.840
No. Observations: 1606 RMSE: 30.98
Df Residuals: 1604 MAE: 26.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.2276 2.8898 0.001 64.8183 75.7974
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 191 · geth
nobs 4224
R² 0.8309
coef (ms) 1.158e-05
p-value 1.00e-03
95% CI [1.14e-05, 1.175e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.831
Model: NNLS Adj. R-squared: 0.831
No. Observations: 4224 RMSE: 41.18
Df Residuals: 4222 MAE: 34.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 85.5025 2.4226 0.001 80.6336 90.2815
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 191 · nethermind
nobs 1177
R² 0.9145
coef (ms) 1.24e-05
p-value 1.00e-03
95% CI [1.219e-05, 1.261e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.914
No. Observations: 1177 RMSE: 29.90
Df Residuals: 1175 MAE: 23.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.0609 2.6775 0.001 49.9836 60.2609
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 191 · reth
nobs 99
R² 0.8589
coef (ms) 1.058e-05
p-value 1.00e-03
95% CI [9.658e-06, 1.152e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.857
No. Observations: 99 RMSE: 33.81
Df Residuals: 97 MAE: 28.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 66.7033 13.2193 0.001 40.6144 94.4093
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 255 · besu
nobs 3773
R² 0.8091
coef (ms) 1.535e-05
p-value 1.00e-03
95% CI [1.51e-05, 1.559e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.809
No. Observations: 3773 RMSE: 58.80
Df Residuals: 3771 MAE: 48.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 104.9960 3.2879 0.001 98.6100 111.5744
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 255 · erigon
nobs 253
R² 0.8797
coef (ms) 1.191e-05
p-value 1.00e-03
95% CI [1.135e-05, 1.249e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.879
No. Observations: 253 RMSE: 34.74
Df Residuals: 251 MAE: 27.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.5409 7.2710 0.001 8.8390 38.0288
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 255 · ethrex
nobs 1606
R² 0.8384
coef (ms) 7.294e-06
p-value 1.00e-03
95% CI [7.122e-06, 7.475e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.838
Model: NNLS Adj. R-squared: 0.838
No. Observations: 1606 RMSE: 25.25
Df Residuals: 1604 MAE: 21.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.4160 2.4819 0.001 50.4454 60.2421
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 255 · geth
nobs 4224
R² 0.8308
coef (ms) 1.03e-05
p-value 1.00e-03
95% CI [1.013e-05, 1.046e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.831
Model: NNLS Adj. R-squared: 0.831
No. Observations: 4224 RMSE: 36.65
Df Residuals: 4222 MAE: 30.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 78.7340 2.1796 0.001 74.3664 83.2122
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 255 · nethermind
nobs 1177
R² 0.9266
coef (ms) 1.11e-05
p-value 1.00e-03
95% CI [1.092e-05, 1.129e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.927
No. Observations: 1177 RMSE: 24.63
Df Residuals: 1175 MAE: 19.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.5938 2.2702 0.001 46.2460 55.2564
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 255 · reth
nobs 99
R² 0.8422
coef (ms) 8.753e-06
p-value 1.00e-03
95% CI [7.994e-06, 9.546e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.842
Model: NNLS Adj. R-squared: 0.841
No. Observations: 99 RMSE: 29.87
Df Residuals: 97 MAE: 25.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 69.8202 10.8710 0.001 48.1953 90.9060
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 63 · besu
nobs 3773
R² 0.8098
coef (ms) 1.547e-05
p-value 1.00e-03
95% CI [1.522e-05, 1.572e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.810
No. Observations: 3773 RMSE: 59.10
Df Residuals: 3771 MAE: 48.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 114.3037 3.3320 0.001 107.6124 120.6372
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 63 · erigon
nobs 253
R² 0.8959
coef (ms) 9.178e-06
p-value 1.00e-03
95% CI [8.755e-06, 9.556e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.895
No. Observations: 253 RMSE: 24.67
Df Residuals: 251 MAE: 20.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.3424 5.2115 0.001 9.6407 30.3282
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 63 · ethrex
nobs 1606
R² 0.8279
coef (ms) 4.537e-06
p-value 1.00e-03
95% CI [4.425e-06, 4.645e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.828
Model: NNLS Adj. R-squared: 0.828
No. Observations: 1606 RMSE: 16.31
Df Residuals: 1604 MAE: 13.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.6060 1.5436 0.001 34.6397 40.4959
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 63 · geth
nobs 4224
R² 0.8296
coef (ms) 8.627e-06
p-value 1.00e-03
95% CI [8.503e-06, 8.756e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.830
No. Observations: 4224 RMSE: 30.83
Df Residuals: 4222 MAE: 25.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 67.5194 1.8076 0.001 63.9872 71.0143
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 63 · nethermind
nobs 1177
R² 0.9155
coef (ms) 8.109e-06
p-value 1.00e-03
95% CI [7.97e-06, 8.247e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.915
No. Observations: 1177 RMSE: 19.43
Df Residuals: 1175 MAE: 14.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.4862 1.6497 0.001 32.3044 38.7289
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SMOD · test_mod · combo 63 · reth
nobs 99
R² 0.8655
coef (ms) 6.348e-06
p-value 1.00e-03
95% CI [5.832e-06, 6.881e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.864
No. Observations: 99 RMSE: 19.73
Df Residuals: 97 MAE: 16.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.7572 7.3986 0.001 37.5205 65.8323
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDMOD · test_arithmetic · besu
nobs 3773
R² 0.6574
coef (ms) 1.165e-05
p-value 1.00e-03
95% CI [1.14e-05, 1.189e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.657
Model: NNLS Adj. R-squared: 0.657
No. Observations: 3773 RMSE: 37.93
Df Residuals: 3771 MAE: 29.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.4826 1.7447 0.001 67.2049 73.9916
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDMOD · test_arithmetic · erigon
nobs 253
R² 0.9382
coef (ms) 4.367e-06
p-value 1.00e-03
95% CI [4.211e-06, 4.512e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.938
Model: NNLS Adj. R-squared: 0.938
No. Observations: 253 RMSE: 5.06
Df Residuals: 251 MAE: 3.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.4618 1.0764 0.001 12.4126 16.5661
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDMOD · test_arithmetic · ethrex
nobs 1606
R² 0.7902
coef (ms) 1.747e-06
p-value 1.00e-03
95% CI [1.702e-06, 1.795e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.790
Model: NNLS Adj. R-squared: 0.790
No. Observations: 1606 RMSE: 4.06
Df Residuals: 1604 MAE: 3.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.9917 0.3269 0.001 7.3614 8.5931
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDMOD · test_arithmetic · geth
nobs 4224
R² 0.7183
coef (ms) 5.953e-06
p-value 1.00e-03
95% CI [5.837e-06, 6.067e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.718
Model: NNLS Adj. R-squared: 0.718
No. Observations: 4224 RMSE: 16.82
Df Residuals: 4222 MAE: 11.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.0267 0.9261 0.001 18.2483 21.7862
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDMOD · test_arithmetic · nethermind
nobs 1177
R² 0
coef (ms) 0
p-value 1.00e+00
95% CI [0, 0]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.000
Model: NNLS Adj. R-squared: -0.001
No. Observations: 1177 RMSE: 47.84
Df Residuals: 1175 MAE: 28.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 61.7923 1.3996 0.001 59.1178 64.6147
opcount 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDMOD · test_arithmetic · reth
nobs 99
R² 0.7774
coef (ms) 1.546e-06
p-value 1.00e-03
95% CI [1.395e-06, 1.715e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.777
Model: NNLS Adj. R-squared: 0.775
No. Observations: 99 RMSE: 3.73
Df Residuals: 97 MAE: 2.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.0129 1.0666 0.001 3.8850 8.1074
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDMOD · test_mod_arithmetic · combo 191 · besu
nobs 3773
R² 0.8296
coef (ms) 2.333e-05
p-value 1.00e-03
95% CI [2.301e-05, 2.364e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.830
No. Observations: 3773 RMSE: 47.61
Df Residuals: 3771 MAE: 39.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 107.4917 2.4005 0.001 102.8750 112.2062
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDMOD · test_mod_arithmetic · combo 191 · erigon
nobs 253
R² 0.9041
coef (ms) 1.821e-05
p-value 1.00e-03
95% CI [1.75e-05, 1.886e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.904
No. Observations: 253 RMSE: 26.70
Df Residuals: 251 MAE: 23.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.9453 5.5533 0.001 18.4487 39.9964
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDMOD · test_mod_arithmetic · combo 191 · ethrex
nobs 1606
R² 0.8363
coef (ms) 1.359e-05
p-value 1.00e-03
95% CI [1.329e-05, 1.391e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.836
No. Observations: 1606 RMSE: 27.08
Df Residuals: 1604 MAE: 22.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 61.4041 2.6053 0.001 56.2391 66.5022
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDMOD · test_mod_arithmetic · combo 191 · geth
nobs 4224
R² 0.8381
coef (ms) 1.65e-05
p-value 1.00e-03
95% CI [1.625e-05, 1.673e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.838
Model: NNLS Adj. R-squared: 0.838
No. Observations: 4224 RMSE: 32.65
Df Residuals: 4222 MAE: 27.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.9516 1.8656 0.001 67.2160 74.5505
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDMOD · test_mod_arithmetic · combo 191 · nethermind
nobs 1177
R² 0.9299
coef (ms) 1.329e-05
p-value 1.00e-03
95% CI [1.309e-05, 1.35e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.930
Model: NNLS Adj. R-squared: 0.930
No. Observations: 1177 RMSE: 16.43
Df Residuals: 1175 MAE: 13.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.5100 1.4580 0.001 30.6529 36.4378
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDMOD · test_mod_arithmetic · combo 191 · reth
nobs 99
R² 0.8579
coef (ms) 9.424e-06
p-value 1.00e-03
95% CI [8.543e-06, 1.031e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.856
No. Observations: 99 RMSE: 17.27
Df Residuals: 97 MAE: 14.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.7360 6.8612 0.001 26.9693 54.2698
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MULMOD · test_arithmetic · besu
nobs 3773
R² 0.6356
coef (ms) 1.089e-05
p-value 1.00e-03
95% CI [1.063e-05, 1.113e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.636
Model: NNLS Adj. R-squared: 0.636
No. Observations: 3773 RMSE: 37.20
Df Residuals: 3771 MAE: 28.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.9173 1.7676 0.001 76.4641 83.4267
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MULMOD · test_arithmetic · erigon
nobs 253
R² 0.3139
coef (ms) 4.138e-06
p-value 1.00e-03
95% CI [2.916e-06, 4.771e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.314
Model: NNLS Adj. R-squared: 0.311
No. Observations: 253 RMSE: 27.59
Df Residuals: 251 MAE: 7.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.4509 8.8667 0.001 16.6625 49.0686
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MULMOD · test_arithmetic · ethrex
nobs 1606
R² 0.792
coef (ms) 1.723e-06
p-value 1.00e-03
95% CI [1.675e-06, 1.768e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 1606 RMSE: 3.98
Df Residuals: 1604 MAE: 2.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.4771 0.3155 0.001 6.8220 8.1148
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MULMOD · test_arithmetic · geth
nobs 4224
R² 0.7766
coef (ms) 6.384e-06
p-value 1.00e-03
95% CI [6.281e-06, 6.488e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.777
Model: NNLS Adj. R-squared: 0.777
No. Observations: 4224 RMSE: 15.44
Df Residuals: 4222 MAE: 11.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.2630 0.7983 0.001 23.6420 26.8133
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MULMOD · test_arithmetic · nethermind
nobs 1177
R² 0
coef (ms) 0
p-value 1.00e+00
95% CI [0, 0]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.000
Model: NNLS Adj. R-squared: -0.001
No. Observations: 1177 RMSE: 21.77
Df Residuals: 1175 MAE: 14.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.7674 0.6442 0.001 52.4632 55.0563
opcount 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MULMOD · test_arithmetic · reth
nobs 99
R² 0.8501
coef (ms) 1.965e-06
p-value 1.00e-03
95% CI [1.792e-06, 2.149e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.850
Model: NNLS Adj. R-squared: 0.849
No. Observations: 99 RMSE: 3.72
Df Residuals: 97 MAE: 2.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.0091 1.2397 0.001 2.4674 7.3471
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MULMOD · test_mod_arithmetic · combo 191 · besu
nobs 3773
R² 0.847
coef (ms) 3.57e-05
p-value 1.00e-03
95% CI [3.522e-05, 3.617e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.847
Model: NNLS Adj. R-squared: 0.847
No. Observations: 3773 RMSE: 68.30
Df Residuals: 3771 MAE: 57.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 155.0298 3.6653 0.001 148.0358 162.1695
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MULMOD · test_mod_arithmetic · combo 191 · erigon
nobs 253
R² 0.8804
coef (ms) 2.599e-05
p-value 1.00e-03
95% CI [2.471e-05, 2.715e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.880
No. Observations: 253 RMSE: 43.12
Df Residuals: 251 MAE: 37.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.4820 10.1875 0.001 29.0983 69.3553
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MULMOD · test_mod_arithmetic · combo 191 · ethrex
nobs 1606
R² 0.8255
coef (ms) 2.265e-05
p-value 1.00e-03
95% CI [2.207e-05, 2.32e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.825
Model: NNLS Adj. R-squared: 0.825
No. Observations: 1606 RMSE: 46.90
Df Residuals: 1604 MAE: 40.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.3061 4.4669 0.001 93.7518 111.4410
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MULMOD · test_mod_arithmetic · combo 191 · geth
nobs 4224
R² 0.8362
coef (ms) 2.384e-05
p-value 1.00e-03
95% CI [2.351e-05, 2.419e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.836
No. Observations: 4224 RMSE: 47.52
Df Residuals: 4222 MAE: 40.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.3446 2.7526 0.001 94.8973 105.6831
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MULMOD · test_mod_arithmetic · combo 191 · nethermind
nobs 1177
R² 0.9089
coef (ms) 3.351e-05
p-value 1.00e-03
95% CI [3.287e-05, 3.41e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.909
Model: NNLS Adj. R-squared: 0.909
No. Observations: 1177 RMSE: 47.76
Df Residuals: 1175 MAE: 37.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 84.1184 4.1945 0.001 75.7200 92.9187
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MULMOD · test_mod_arithmetic · combo 191 · reth
nobs 99
R² 0.8533
coef (ms) 1.684e-05
p-value 1.00e-03
95% CI [1.539e-05, 1.832e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.852
No. Observations: 99 RMSE: 31.45
Df Residuals: 97 MAE: 25.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.1284 11.5187 0.001 66.1461 112.1967
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
AND · test_bitwise · besu
nobs 3773
R² 0.5549
coef (ms) 8.466e-06
p-value 1.00e-03
95% CI [8.222e-06, 8.719e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.555
Model: NNLS Adj. R-squared: 0.555
No. Observations: 3773 RMSE: 79.80
Df Residuals: 3771 MAE: 64.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 84.2969 3.9843 0.001 76.6640 92.1031
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
AND · test_bitwise · erigon
nobs 253
R² 0.09128
coef (ms) 1.911e-06
p-value 1.00e-03
95% CI [9.452e-07, 2.661e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.091
Model: NNLS Adj. R-squared: 0.088
No. Observations: 253 RMSE: 63.45
Df Residuals: 251 MAE: 22.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.3106 18.3369 0.001 27.5187 100.2760
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
AND · test_bitwise · ethrex
nobs 1606
R² 0.3724
coef (ms) 1.091e-06
p-value 1.00e-03
95% CI [1.021e-06, 1.16e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.372
Model: NNLS Adj. R-squared: 0.372
No. Observations: 1606 RMSE: 14.91
Df Residuals: 1604 MAE: 11.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.7473 1.2226 0.001 13.4486 18.1093
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
AND · test_bitwise · geth
nobs 4224
R² 0.7161
coef (ms) 3.846e-06
p-value 1.00e-03
95% CI [3.775e-06, 3.919e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.716
Model: NNLS Adj. R-squared: 0.716
No. Observations: 4224 RMSE: 25.49
Df Residuals: 4222 MAE: 18.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.3079 1.2368 0.001 42.9690 47.8165
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
AND · test_bitwise · nethermind
nobs 1177
R² 0.6655
coef (ms) 1.198e-06
p-value 1.00e-03
95% CI [1.144e-06, 1.245e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.666
Model: NNLS Adj. R-squared: 0.665
No. Observations: 1177 RMSE: 8.94
Df Residuals: 1175 MAE: 4.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.3385 0.9995 0.001 13.5733 17.4323
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
AND · test_bitwise · reth
nobs 99
R² 0.7872
coef (ms) 8.993e-07
p-value 1.00e-03
95% CI [7.999e-07, 1.009e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.787
Model: NNLS Adj. R-squared: 0.785
No. Observations: 99 RMSE: 4.92
Df Residuals: 97 MAE: 3.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2346 1.5900 0.001 6.0725 12.4320
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
OR · test_bitwise · besu
nobs 3773
R² 0.5535
coef (ms) 8.524e-06
p-value 1.00e-03
95% CI [8.279e-06, 8.77e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.553
Model: NNLS Adj. R-squared: 0.553
No. Observations: 3773 RMSE: 80.58
Df Residuals: 3771 MAE: 65.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 84.8395 4.0324 0.001 77.3275 92.4572
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
OR · test_bitwise · erigon
nobs 253
R² 0.5676
coef (ms) 2.895e-06
p-value 1.00e-03
95% CI [2.79e-06, 2.995e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.568
Model: NNLS Adj. R-squared: 0.566
No. Observations: 253 RMSE: 26.60
Df Residuals: 251 MAE: 8.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.2693 2.4027 0.001 14.0789 23.1825
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
OR · test_bitwise · ethrex
nobs 1606
R² 0.3273
coef (ms) 9.999e-07
p-value 1.00e-03
95% CI [9.311e-07, 1.068e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.327
Model: NNLS Adj. R-squared: 0.327
No. Observations: 1606 RMSE: 15.09
Df Residuals: 1604 MAE: 11.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.4632 1.2341 0.001 16.9945 21.9101
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
OR · test_bitwise · geth
nobs 4224
R² 0.7023
coef (ms) 3.834e-06
p-value 1.00e-03
95% CI [3.765e-06, 3.908e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.702
Model: NNLS Adj. R-squared: 0.702
No. Observations: 4224 RMSE: 26.27
Df Residuals: 4222 MAE: 19.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.4421 1.2334 0.001 46.0443 50.7717
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
OR · test_bitwise · nethermind
nobs 1177
R² 0.7287
coef (ms) 1.337e-06
p-value 1.00e-03
95% CI [1.295e-06, 1.379e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.729
Model: NNLS Adj. R-squared: 0.728
No. Observations: 1177 RMSE: 8.58
Df Residuals: 1175 MAE: 4.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9745 0.7370 0.001 8.6240 11.5266
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
OR · test_bitwise · reth
nobs 99
R² 0.8497
coef (ms) 9.071e-07
p-value 1.00e-03
95% CI [8.4e-07, 9.777e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.850
Model: NNLS Adj. R-squared: 0.848
No. Observations: 99 RMSE: 4.02
Df Residuals: 97 MAE: 3.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.0443 1.1097 0.001 7.0046 11.3442
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
XOR · test_bitwise · besu
nobs 3773
R² 0.5773
coef (ms) 7.511e-06
p-value 1.00e-03
95% CI [7.311e-06, 7.718e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.577
Model: NNLS Adj. R-squared: 0.577
No. Observations: 3773 RMSE: 67.64
Df Residuals: 3771 MAE: 57.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.5785 3.2452 0.001 72.6159 85.6205
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
XOR · test_bitwise · erigon
nobs 253
R² 0.6557
coef (ms) 2.964e-06
p-value 1.00e-03
95% CI [2.854e-06, 3.1e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.656
Model: NNLS Adj. R-squared: 0.654
No. Observations: 253 RMSE: 22.61
Df Residuals: 251 MAE: 7.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.2518 1.5376 0.001 12.3150 18.2123
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
XOR · test_bitwise · ethrex
nobs 1606
R² 0.3204
coef (ms) 1.04e-06
p-value 1.00e-03
95% CI [9.598e-07, 1.115e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.320
Model: NNLS Adj. R-squared: 0.320
No. Observations: 1606 RMSE: 15.94
Df Residuals: 1604 MAE: 11.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.0265 1.3107 0.001 14.4900 19.5895
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
XOR · test_bitwise · geth
nobs 4224
R² 0.687
coef (ms) 3.714e-06
p-value 1.00e-03
95% CI [3.645e-06, 3.79e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.687
Model: NNLS Adj. R-squared: 0.687
No. Observations: 4224 RMSE: 26.39
Df Residuals: 4222 MAE: 18.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.8850 1.3061 0.001 44.3018 49.2128
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
XOR · test_bitwise · nethermind
nobs 1177
R² 0.6799
coef (ms) 1.266e-06
p-value 1.00e-03
95% CI [1.214e-06, 1.318e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.680
Model: NNLS Adj. R-squared: 0.680
No. Observations: 1177 RMSE: 9.14
Df Residuals: 1175 MAE: 5.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.7304 0.9635 0.001 11.9909 15.6403
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
XOR · test_bitwise · reth
nobs 99
R² 0.8653
coef (ms) 9.857e-07
p-value 1.00e-03
95% CI [9.069e-07, 1.06e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.864
No. Observations: 99 RMSE: 4.09
Df Residuals: 97 MAE: 3.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.0545 1.3207 0.001 3.5187 8.7760
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BYTE · test_bitwise · besu
nobs 3773
R² 0.6704
coef (ms) 9.567e-06
p-value 1.00e-03
95% CI [9.368e-06, 9.799e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.670
Model: NNLS Adj. R-squared: 0.670
No. Observations: 3773 RMSE: 70.60
Df Residuals: 3771 MAE: 57.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.2042 3.4175 0.001 95.1035 108.6366
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BYTE · test_bitwise · erigon
nobs 253
R² 0.9309
coef (ms) 3.164e-06
p-value 1.00e-03
95% CI [3.06e-06, 3.265e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.931
Model: NNLS Adj. R-squared: 0.931
No. Observations: 253 RMSE: 9.07
Df Residuals: 251 MAE: 7.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.2355 1.7685 0.001 11.0071 17.9197
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BYTE · test_bitwise · ethrex
nobs 1606
R² 0.7856
coef (ms) 1.477e-06
p-value 1.00e-03
95% CI [1.434e-06, 1.518e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.786
Model: NNLS Adj. R-squared: 0.785
No. Observations: 1606 RMSE: 8.12
Df Residuals: 1604 MAE: 6.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.6783 0.7110 0.001 15.3753 18.1226
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BYTE · test_bitwise · geth
nobs 4224
R² 0.7013
coef (ms) 3.677e-06
p-value 1.00e-03
95% CI [3.599e-06, 3.756e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.701
Model: NNLS Adj. R-squared: 0.701
No. Observations: 4224 RMSE: 25.25
Df Residuals: 4222 MAE: 17.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.5514 1.4062 0.001 33.7378 39.1980
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BYTE · test_bitwise · nethermind
nobs 1177
R² 0.4854
coef (ms) 1.458e-06
p-value 1.00e-03
95% CI [1.388e-06, 1.534e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.485
Model: NNLS Adj. R-squared: 0.485
No. Observations: 1177 RMSE: 15.80
Df Residuals: 1175 MAE: 10.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.0072 1.2481 0.001 19.5043 24.3791
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BYTE · test_bitwise · reth
nobs 99
R² 0.777
coef (ms) 1.014e-06
p-value 1.00e-03
95% CI [9.022e-07, 1.124e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.777
Model: NNLS Adj. R-squared: 0.775
No. Observations: 99 RMSE: 5.71
Df Residuals: 97 MAE: 4.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.8660 1.9064 0.001 5.3577 12.5052
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHL · test_bitwise · besu
nobs 3773
R² 0.333
coef (ms) 5.304e-06
p-value 1.00e-03
95% CI [5.071e-06, 5.54e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.333
Model: NNLS Adj. R-squared: 0.333
No. Observations: 3773 RMSE: 79.01
Df Residuals: 3771 MAE: 64.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.4377 3.7617 0.001 95.0624 109.5931
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHL · test_bitwise · erigon
nobs 253
R² 0.931
coef (ms) 3.516e-06
p-value 1.00e-03
95% CI [3.403e-06, 3.625e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.931
Model: NNLS Adj. R-squared: 0.931
No. Observations: 253 RMSE: 10.08
Df Residuals: 251 MAE: 8.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.5055 1.9346 0.001 12.8137 20.5884
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHL · test_bitwise · ethrex
nobs 1606
R² 0.823
coef (ms) 2.083e-06
p-value 1.00e-03
95% CI [2.033e-06, 2.135e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.823
Model: NNLS Adj. R-squared: 0.823
No. Observations: 1606 RMSE: 10.17
Df Residuals: 1604 MAE: 8.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.4126 0.8762 0.001 16.6604 20.1257
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHL · test_bitwise · geth
nobs 4224
R² 0.733
coef (ms) 3.82e-06
p-value 1.00e-03
95% CI [3.745e-06, 3.896e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.733
Model: NNLS Adj. R-squared: 0.733
No. Observations: 4224 RMSE: 24.27
Df Residuals: 4222 MAE: 17.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.8946 1.3844 0.001 37.1484 42.5236
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHL · test_bitwise · nethermind
nobs 1177
R² 0.9082
coef (ms) 4.203e-06
p-value 1.00e-03
95% CI [4.129e-06, 4.271e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.908
No. Observations: 1177 RMSE: 14.06
Df Residuals: 1175 MAE: 10.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.0396 1.2244 0.001 27.7657 32.5613
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHL · test_bitwise · reth
nobs 99
R² 0.8154
coef (ms) 1.567e-06
p-value 1.00e-03
95% CI [1.414e-06, 1.72e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.813
No. Observations: 99 RMSE: 7.85
Df Residuals: 97 MAE: 6.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.9970 2.6097 0.001 15.7725 26.1042
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHR · test_bitwise · besu
nobs 3773
R² 0.3219
coef (ms) 5.025e-06
p-value 1.00e-03
95% CI [4.808e-06, 5.246e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.322
Model: NNLS Adj. R-squared: 0.322
No. Observations: 3773 RMSE: 76.75
Df Residuals: 3771 MAE: 63.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 101.1859 3.6942 0.001 93.8484 108.5599
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHR · test_bitwise · erigon
nobs 253
R² 0.4111
coef (ms) 3.524e-06
p-value 1.00e-03
95% CI [3.361e-06, 3.708e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.411
Model: NNLS Adj. R-squared: 0.409
No. Observations: 253 RMSE: 44.39
Df Residuals: 251 MAE: 14.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.0174 2.8351 0.001 14.3193 25.0166
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHR · test_bitwise · ethrex
nobs 1606
R² 0.8072
coef (ms) 1.696e-06
p-value 1.00e-03
95% CI [1.651e-06, 1.742e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.807
Model: NNLS Adj. R-squared: 0.807
No. Observations: 1606 RMSE: 8.73
Df Residuals: 1604 MAE: 7.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.1930 0.7631 0.001 15.6808 18.6772
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHR · test_bitwise · geth
nobs 4224
R² 0.6184
coef (ms) 4.176e-06
p-value 1.00e-03
95% CI [4.069e-06, 4.283e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.618
Model: NNLS Adj. R-squared: 0.618
No. Observations: 4224 RMSE: 34.53
Df Residuals: 4222 MAE: 26.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.6291 1.7705 0.001 32.3687 39.0523
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHR · test_bitwise · nethermind
nobs 1177
R² 0.9256
coef (ms) 4.012e-06
p-value 1.00e-03
95% CI [3.946e-06, 4.073e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.925
No. Observations: 1177 RMSE: 11.97
Df Residuals: 1175 MAE: 9.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.4754 0.9953 0.001 26.5022 30.3762
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHR · test_bitwise · reth
nobs 99
R² 0.837
coef (ms) 1.803e-06
p-value 1.00e-03
95% CI [1.645e-06, 1.973e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.837
Model: NNLS Adj. R-squared: 0.835
No. Observations: 99 RMSE: 8.38
Df Residuals: 97 MAE: 6.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.3252 2.8696 0.001 10.8112 21.7635
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SAR · test_bitwise · besu
nobs 3773
R² 0.1529
coef (ms) 1.981e-05
p-value 1.00e-03
95% CI [1.822e-05, 2.132e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.153
Model: NNLS Adj. R-squared: 0.153
No. Observations: 3773 RMSE: 490.82
Df Residuals: 3771 MAE: 445.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 224.5401 23.3515 0.001 177.3543 272.3663
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SAR · test_bitwise · erigon
nobs 253
R² 0.6465
coef (ms) 3.631e-06
p-value 1.00e-03
95% CI [3.5e-06, 3.739e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.647
Model: NNLS Adj. R-squared: 0.645
No. Observations: 253 RMSE: 28.26
Df Residuals: 251 MAE: 10.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.2670 2.7123 0.001 12.3816 22.7768
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SAR · test_bitwise · ethrex
nobs 1606
R² 0.8219
coef (ms) 2.499e-06
p-value 1.00e-03
95% CI [2.434e-06, 2.561e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.822
Model: NNLS Adj. R-squared: 0.822
No. Observations: 1606 RMSE: 12.24
Df Residuals: 1604 MAE: 10.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.3068 1.0688 0.001 19.2878 23.4475
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SAR · test_bitwise · geth
nobs 4224
R² 0.7334
coef (ms) 3.915e-06
p-value 1.00e-03
95% CI [3.837e-06, 3.992e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.733
Model: NNLS Adj. R-squared: 0.733
No. Observations: 4224 RMSE: 24.85
Df Residuals: 4222 MAE: 17.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.6791 1.3761 0.001 41.0265 46.3496
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SAR · test_bitwise · nethermind
nobs 1177
R² 0.2227
coef (ms) 2.234e-06
p-value 1.00e-03
95% CI [1.923e-06, 2.577e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.223
Model: NNLS Adj. R-squared: 0.222
No. Observations: 1177 RMSE: 43.93
Df Residuals: 1175 MAE: 32.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 120.1915 6.7137 0.001 106.6443 132.7419
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SAR · test_bitwise · reth
nobs 99
R² 0.8398
coef (ms) 2.653e-06
p-value 1.00e-03
95% CI [2.409e-06, 2.922e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.838
No. Observations: 99 RMSE: 12.20
Df Residuals: 97 MAE: 10.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.3197 4.5243 0.001 20.5294 37.7798
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
NOT · test_not_op · besu
nobs 3773
R² 0.5388
coef (ms) 4.179e-06
p-value 1.00e-03
95% CI [4.058e-06, 4.3e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.539
Model: NNLS Adj. R-squared: 0.539
No. Observations: 3773 RMSE: 81.40
Df Residuals: 3771 MAE: 69.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.3825 3.9706 0.001 75.6569 91.1207
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
NOT · test_not_op · erigon
nobs 253
R² 0.9359
coef (ms) 1.082e-06
p-value 1.00e-03
95% CI [1.045e-06, 1.119e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.936
Model: NNLS Adj. R-squared: 0.936
No. Observations: 253 RMSE: 5.96
Df Residuals: 251 MAE: 4.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.2395 1.3037 0.001 11.7399 16.8923
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
NOT · test_not_op · ethrex
nobs 1606
R² 0.7965
coef (ms) 5.316e-07
p-value 1.00e-03
95% CI [5.176e-07, 5.456e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.796
No. Observations: 1606 RMSE: 5.66
Df Residuals: 1604 MAE: 4.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.4421 0.4600 0.001 10.5809 12.3737
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
NOT · test_not_op · geth
nobs 4224
R² 0.7226
coef (ms) 1.448e-06
p-value 1.00e-03
95% CI [1.42e-06, 1.476e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.723
Model: NNLS Adj. R-squared: 0.723
No. Observations: 4224 RMSE: 18.89
Df Residuals: 4222 MAE: 12.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.4302 1.0647 0.001 24.3183 28.4996
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
NOT · test_not_op · nethermind
nobs 1177
R² 0.7697
coef (ms) 6.356e-07
p-value 1.00e-03
95% CI [6.076e-07, 6.603e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.769
No. Observations: 1177 RMSE: 7.32
Df Residuals: 1175 MAE: 4.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.8296 1.0213 0.001 15.0523 19.0633
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
NOT · test_not_op · reth
nobs 99
R² 0.7744
coef (ms) 5.116e-07
p-value 1.00e-03
95% CI [4.567e-07, 5.741e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.774
Model: NNLS Adj. R-squared: 0.772
No. Observations: 99 RMSE: 5.81
Df Residuals: 97 MAE: 4.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.5182 2.0301 0.001 8.3704 16.3002
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CLZ · test_clz_same · besu
nobs 3773
R² 0.5191
coef (ms) 3.937e-06
p-value 1.00e-03
95% CI [3.822e-06, 4.054e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.519
Model: NNLS Adj. R-squared: 0.519
No. Observations: 3773 RMSE: 47.87
Df Residuals: 3771 MAE: 40.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.2967 2.1949 0.001 51.8539 60.4052
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CLZ · test_clz_same · erigon
nobs 253
R² 0.9011
coef (ms) 1.123e-06
p-value 1.00e-03
95% CI [1.075e-06, 1.17e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.901
Model: NNLS Adj. R-squared: 0.901
No. Observations: 253 RMSE: 4.70
Df Residuals: 251 MAE: 3.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.1833 0.9231 0.001 10.3968 14.1673
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CLZ · test_clz_same · ethrex
nobs 1606
R² 0.8113
coef (ms) 5.983e-07
p-value 1.00e-03
95% CI [5.836e-07, 6.144e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.811
No. Observations: 1606 RMSE: 3.65
Df Residuals: 1604 MAE: 2.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.5902 0.3059 0.001 5.9900 7.1787
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CLZ · test_clz_same · geth
nobs 4224
R² 0.724
coef (ms) 1.507e-06
p-value 1.00e-03
95% CI [1.477e-06, 1.537e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.724
Model: NNLS Adj. R-squared: 0.724
No. Observations: 4224 RMSE: 11.76
Df Residuals: 4222 MAE: 8.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.4653 0.6198 0.001 15.2456 17.6334
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CLZ · test_clz_same · nethermind
nobs 1177
R² 0.8975
coef (ms) 3.454e-06
p-value 1.00e-03
95% CI [3.403e-06, 3.513e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.898
Model: NNLS Adj. R-squared: 0.897
No. Observations: 1177 RMSE: 14.74
Df Residuals: 1175 MAE: 10.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.7648 1.1410 0.001 26.4918 30.9084
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CLZ · test_clz_same · reth
nobs 99
R² 0.7869
coef (ms) 5.009e-07
p-value 1.00e-03
95% CI [4.458e-07, 5.564e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.787
Model: NNLS Adj. R-squared: 0.785
No. Observations: 99 RMSE: 3.29
Df Residuals: 97 MAE: 2.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.5282 1.0767 0.001 4.4557 8.7590
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
LT · test_comparison · besu
nobs 3773
R² 0.1771
coef (ms) 2.161e-05
p-value 1.00e-03
95% CI [2.01e-05, 2.304e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.177
Model: NNLS Adj. R-squared: 0.177
No. Observations: 3773 RMSE: 490.18
Df Residuals: 3771 MAE: 454.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 170.0391 23.2138 0.001 127.0284 215.0015
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
LT · test_comparison · erigon
nobs 253
R² 0.471
coef (ms) 2.994e-06
p-value 1.00e-03
95% CI [2.84e-06, 3.138e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.471
Model: NNLS Adj. R-squared: 0.469
No. Observations: 253 RMSE: 33.40
Df Residuals: 251 MAE: 9.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.4331 3.4981 0.001 17.1208 30.0652
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
LT · test_comparison · ethrex
nobs 1606
R² 0.8148
coef (ms) 1.055e-06
p-value 1.00e-03
95% CI [1.03e-06, 1.081e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.815
No. Observations: 1606 RMSE: 5.29
Df Residuals: 1604 MAE: 3.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9240 0.4355 0.001 9.0401 10.7425
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
LT · test_comparison · geth
nobs 4224
R² 0.7695
coef (ms) 4.465e-06
p-value 1.00e-03
95% CI [4.393e-06, 4.543e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.769
No. Observations: 4224 RMSE: 25.72
Df Residuals: 4222 MAE: 18.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.4911 1.3079 0.001 39.9934 44.8491
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
LT · test_comparison · nethermind
nobs 1177
R² 0.7502
coef (ms) 1.341e-06
p-value 1.00e-03
95% CI [1.294e-06, 1.391e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.750
Model: NNLS Adj. R-squared: 0.750
No. Observations: 1177 RMSE: 8.14
Df Residuals: 1175 MAE: 5.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.7244 0.8604 0.001 17.0236 20.2922
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
LT · test_comparison · reth
nobs 99
R² 0.7873
coef (ms) 9.224e-07
p-value 1.00e-03
95% CI [8.41e-07, 1.002e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.787
Model: NNLS Adj. R-squared: 0.785
No. Observations: 99 RMSE: 5.05
Df Residuals: 97 MAE: 3.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9322 1.5258 0.001 7.0382 12.9171
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GT · test_comparison · besu
nobs 3773
R² 0.182
coef (ms) 2.151e-05
p-value 1.00e-03
95% CI [2e-05, 2.296e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.182
Model: NNLS Adj. R-squared: 0.182
No. Observations: 3773 RMSE: 479.96
Df Residuals: 3771 MAE: 444.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 140.0736 22.5585 0.001 97.8061 186.0613
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GT · test_comparison · erigon
nobs 253
R² 0.6427
coef (ms) 2.932e-06
p-value 1.00e-03
95% CI [2.787e-06, 3.047e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.643
Model: NNLS Adj. R-squared: 0.641
No. Observations: 253 RMSE: 23.01
Df Residuals: 251 MAE: 7.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.3530 3.2590 0.001 18.3262 31.0144
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GT · test_comparison · ethrex
nobs 1606
R² 0.8227
coef (ms) 1.068e-06
p-value 1.00e-03
95% CI [1.045e-06, 1.093e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.823
Model: NNLS Adj. R-squared: 0.823
No. Observations: 1606 RMSE: 5.22
Df Residuals: 1604 MAE: 4.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.3776 0.4164 0.001 9.5579 11.2097
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GT · test_comparison · geth
nobs 4224
R² 0.7148
coef (ms) 3.572e-06
p-value 1.00e-03
95% CI [3.505e-06, 3.642e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.715
Model: NNLS Adj. R-squared: 0.715
No. Observations: 4224 RMSE: 23.75
Df Residuals: 4222 MAE: 16.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.5966 1.1729 0.001 34.3072 38.7061
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GT · test_comparison · nethermind
nobs 1177
R² 0.7326
coef (ms) 1.456e-06
p-value 1.00e-03
95% CI [1.417e-06, 1.497e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.733
Model: NNLS Adj. R-squared: 0.732
No. Observations: 1177 RMSE: 9.26
Df Residuals: 1175 MAE: 5.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.5524 0.6808 0.001 12.3225 14.8717
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GT · test_comparison · reth
nobs 99
R² 0.8039
coef (ms) 9.649e-07
p-value 1.00e-03
95% CI [8.854e-07, 1.048e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.802
No. Observations: 99 RMSE: 5.02
Df Residuals: 97 MAE: 3.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1700 1.3798 0.001 8.5178 13.8672
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLT · test_comparison · besu
nobs 3773
R² 0.5675
coef (ms) 9.35e-06
p-value 1.00e-03
95% CI [9.106e-06, 9.617e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.567
Model: NNLS Adj. R-squared: 0.567
No. Observations: 3773 RMSE: 85.91
Df Residuals: 3771 MAE: 74.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 106.3708 4.0513 0.001 98.2382 114.3223
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLT · test_comparison · erigon
nobs 253
R² 0.655
coef (ms) 2.955e-06
p-value 1.00e-03
95% CI [2.769e-06, 3.238e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.655
Model: NNLS Adj. R-squared: 0.654
No. Observations: 253 RMSE: 22.58
Df Residuals: 251 MAE: 7.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.7768 3.0290 0.001 12.8980 24.9134
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLT · test_comparison · ethrex
nobs 1606
R² 0.8023
coef (ms) 1.08e-06
p-value 1.00e-03
95% CI [1.049e-06, 1.112e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.802
Model: NNLS Adj. R-squared: 0.802
No. Observations: 1606 RMSE: 5.64
Df Residuals: 1604 MAE: 4.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.6751 0.5023 0.001 8.7251 10.6496
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLT · test_comparison · geth
nobs 4224
R² 0.735
coef (ms) 3.755e-06
p-value 1.00e-03
95% CI [3.683e-06, 3.832e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.735
Model: NNLS Adj. R-squared: 0.735
No. Observations: 4224 RMSE: 23.73
Df Residuals: 4222 MAE: 16.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.7796 1.3323 0.001 36.1068 41.3042
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLT · test_comparison · nethermind
nobs 1177
R² 0.6841
coef (ms) 1.418e-06
p-value 1.00e-03
95% CI [1.36e-06, 1.467e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.684
Model: NNLS Adj. R-squared: 0.684
No. Observations: 1177 RMSE: 10.14
Df Residuals: 1175 MAE: 5.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.3632 1.0830 0.001 17.5348 21.7203
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLT · test_comparison · reth
nobs 99
R² 0.8371
coef (ms) 1.037e-06
p-value 1.00e-03
95% CI [9.639e-07, 1.119e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.837
Model: NNLS Adj. R-squared: 0.835
No. Observations: 99 RMSE: 4.82
Df Residuals: 97 MAE: 3.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2763 1.2564 0.001 6.8101 11.5903
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SGT · test_comparison · besu
nobs 3773
R² 0.5117
coef (ms) 8.258e-06
p-value 1.00e-03
95% CI [8.018e-06, 8.494e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.512
Model: NNLS Adj. R-squared: 0.512
No. Observations: 3773 RMSE: 84.91
Df Residuals: 3771 MAE: 73.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 124.1657 3.7238 0.001 116.5914 131.3204
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SGT · test_comparison · erigon
nobs 253
R² 0.4299
coef (ms) 3.092e-06
p-value 1.00e-03
95% CI [2.937e-06, 3.3e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.430
Model: NNLS Adj. R-squared: 0.428
No. Observations: 253 RMSE: 37.48
Df Residuals: 251 MAE: 10.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.0415 1.8871 0.001 16.5844 23.7445
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SGT · test_comparison · ethrex
nobs 1606
R² 0.7947
coef (ms) 1.099e-06
p-value 1.00e-03
95% CI [1.073e-06, 1.126e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.795
Model: NNLS Adj. R-squared: 0.795
No. Observations: 1606 RMSE: 5.88
Df Residuals: 1604 MAE: 4.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.8931 0.4475 0.001 9.0217 10.7453
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SGT · test_comparison · geth
nobs 4224
R² 0.7151
coef (ms) 3.749e-06
p-value 1.00e-03
95% CI [3.671e-06, 3.833e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.715
Model: NNLS Adj. R-squared: 0.715
No. Observations: 4224 RMSE: 24.90
Df Residuals: 4222 MAE: 17.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.3069 1.4487 0.001 36.4691 42.0669
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SGT · test_comparison · nethermind
nobs 1177
R² 0.7755
coef (ms) 1.382e-06
p-value 1.00e-03
95% CI [1.339e-06, 1.423e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.775
Model: NNLS Adj. R-squared: 0.775
No. Observations: 1177 RMSE: 7.83
Df Residuals: 1175 MAE: 4.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.2061 0.7323 0.001 17.7605 20.6976
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SGT · test_comparison · reth
nobs 99
R² 0.8042
coef (ms) 9.657e-07
p-value 1.00e-03
95% CI [8.709e-07, 1.057e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.802
No. Observations: 99 RMSE: 5.01
Df Residuals: 97 MAE: 3.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.3033 1.5307 0.001 7.3590 13.5749
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EQ · test_comparison · besu
nobs 3773
R² 0.6212
coef (ms) 1.262e-05
p-value 1.00e-03
95% CI [1.228e-05, 1.295e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.621
Model: NNLS Adj. R-squared: 0.621
No. Observations: 3773 RMSE: 103.73
Df Residuals: 3771 MAE: 91.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 119.2558 5.3669 0.001 108.9487 130.4625
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EQ · test_comparison · erigon
nobs 253
R² 0.9296
coef (ms) 2.908e-06
p-value 1.00e-03
95% CI [2.803e-06, 2.998e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.930
Model: NNLS Adj. R-squared: 0.929
No. Observations: 253 RMSE: 8.42
Df Residuals: 251 MAE: 6.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.8643 1.8354 0.001 17.5373 24.9089
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EQ · test_comparison · ethrex
nobs 1606
R² 0.8074
coef (ms) 1.449e-06
p-value 1.00e-03
95% CI [1.412e-06, 1.488e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.807
Model: NNLS Adj. R-squared: 0.807
No. Observations: 1606 RMSE: 7.45
Df Residuals: 1604 MAE: 6.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.5387 0.6487 0.001 15.2837 17.8249
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EQ · test_comparison · geth
nobs 4224
R² 0.7102
coef (ms) 3.685e-06
p-value 1.00e-03
95% CI [3.608e-06, 3.763e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.710
Model: NNLS Adj. R-squared: 0.710
No. Observations: 4224 RMSE: 24.78
Df Residuals: 4222 MAE: 17.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.0126 1.3600 0.001 33.3562 38.6032
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EQ · test_comparison · nethermind
nobs 1177
R² 0.6741
coef (ms) 1.386e-06
p-value 1.00e-03
95% CI [1.339e-06, 1.435e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.674
Model: NNLS Adj. R-squared: 0.674
No. Observations: 1177 RMSE: 10.14
Df Residuals: 1175 MAE: 5.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.4945 0.8995 0.001 11.7555 15.1943
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EQ · test_comparison · reth
nobs 99
R² 0.8304
coef (ms) 1.551e-06
p-value 1.00e-03
95% CI [1.4e-06, 1.701e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.829
No. Observations: 99 RMSE: 7.38
Df Residuals: 97 MAE: 5.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.0214 2.5933 0.001 7.0831 17.0712
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ISZERO · test_iszero · besu
nobs 3773
R² 0.6127
coef (ms) 4.053e-06
p-value 1.00e-03
95% CI [3.95e-06, 4.154e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.613
Model: NNLS Adj. R-squared: 0.613
No. Observations: 3773 RMSE: 67.84
Df Residuals: 3771 MAE: 59.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.6323 3.4905 0.001 70.1612 83.1594
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ISZERO · test_iszero · erigon
nobs 253
R² 0.345
coef (ms) 1.238e-06
p-value 1.00e-03
95% CI [1.032e-06, 1.453e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.345
Model: NNLS Adj. R-squared: 0.342
No. Observations: 253 RMSE: 35.91
Df Residuals: 251 MAE: 9.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.8268 5.8848 0.113 0.0000 19.6146
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ISZERO · test_iszero · ethrex
nobs 1606
R² 0.8404
coef (ms) 1.434e-06
p-value 1.00e-03
95% CI [1.398e-06, 1.467e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.840
No. Observations: 1606 RMSE: 13.16
Df Residuals: 1604 MAE: 11.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.5738 1.1774 0.001 22.4010 26.8618
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ISZERO · test_iszero · geth
nobs 4224
R² 0.7685
coef (ms) 1.489e-06
p-value 1.00e-03
95% CI [1.465e-06, 1.515e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.769
Model: NNLS Adj. R-squared: 0.768
No. Observations: 4224 RMSE: 17.20
Df Residuals: 4222 MAE: 12.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.2281 0.9354 0.001 23.3919 27.0371
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ISZERO · test_iszero · nethermind
nobs 1177
R² 0.8037
coef (ms) 8.088e-07
p-value 1.00e-03
95% CI [7.866e-07, 8.331e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.804
No. Observations: 1177 RMSE: 8.41
Df Residuals: 1175 MAE: 5.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.3803 0.8266 0.001 14.7604 17.9369
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ISZERO · test_iszero · reth
nobs 99
R² 0.8047
coef (ms) 3.91e-07
p-value 1.00e-03
95% CI [3.489e-07, 4.353e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.803
No. Observations: 99 RMSE: 4.06
Df Residuals: 97 MAE: 3.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.6134 1.2767 0.001 6.2558 11.1102
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH0 · test_push · besu
nobs 3773
R² 0.374
coef (ms) 2.622e-06
p-value 1.00e-03
95% CI [2.516e-06, 2.718e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.374
Model: NNLS Adj. R-squared: 0.374
No. Observations: 3773 RMSE: 101.70
Df Residuals: 3771 MAE: 92.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 73.6986 4.6119 0.001 64.5369 82.5572
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH0 · test_push · erigon
nobs 253
R² 0.6015
coef (ms) 1.392e-06
p-value 1.00e-03
95% CI [1.274e-06, 1.471e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.602
Model: NNLS Adj. R-squared: 0.600
No. Observations: 253 RMSE: 33.97
Df Residuals: 251 MAE: 10.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.5379 6.9071 0.001 22.9162 48.2967
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH0 · test_push · ethrex
nobs 1606
R² 0.8135
coef (ms) 5.3e-07
p-value 1.00e-03
95% CI [5.172e-07, 5.416e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.813
No. Observations: 1606 RMSE: 7.61
Df Residuals: 1604 MAE: 5.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.2741 0.5948 0.001 12.1494 14.4692
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH0 · test_push · geth
nobs 4224
R² 0.8015
coef (ms) 1.576e-06
p-value 1.00e-03
95% CI [1.549e-06, 1.605e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.801
Model: NNLS Adj. R-squared: 0.801
No. Observations: 4224 RMSE: 23.52
Df Residuals: 4222 MAE: 18.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.5009 1.3881 0.001 40.7889 46.0937
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH0 · test_push · nethermind
nobs 1177
R² 0.829
coef (ms) 7.225e-07
p-value 1.00e-03
95% CI [7.034e-07, 7.426e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 1177 RMSE: 9.84
Df Residuals: 1175 MAE: 7.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.5875 0.9210 0.001 12.8317 16.3695
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH0 · test_push · reth
nobs 99
R² 0.869
coef (ms) 4.327e-07
p-value 1.00e-03
95% CI [3.972e-07, 4.678e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.868
No. Observations: 99 RMSE: 5.04
Df Residuals: 97 MAE: 3.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.3937 1.5685 0.001 4.4138 10.4519
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH0 · test_push · combo PUSH0 · besu
nobs 3773
R² 0.374
coef (ms) 2.622e-06
p-value 1.00e-03
95% CI [2.516e-06, 2.718e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.374
Model: NNLS Adj. R-squared: 0.374
No. Observations: 3773 RMSE: 101.70
Df Residuals: 3771 MAE: 92.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 73.6986 4.6119 0.001 64.5369 82.5572
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH0 · test_push · combo PUSH0 · erigon
nobs 253
R² 0.6015
coef (ms) 1.392e-06
p-value 1.00e-03
95% CI [1.274e-06, 1.471e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.602
Model: NNLS Adj. R-squared: 0.600
No. Observations: 253 RMSE: 33.97
Df Residuals: 251 MAE: 10.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.5379 6.9071 0.001 22.9162 48.2967
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH0 · test_push · combo PUSH0 · ethrex
nobs 1606
R² 0.8135
coef (ms) 5.3e-07
p-value 1.00e-03
95% CI [5.172e-07, 5.416e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.813
No. Observations: 1606 RMSE: 7.61
Df Residuals: 1604 MAE: 5.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.2741 0.5948 0.001 12.1494 14.4692
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH0 · test_push · combo PUSH0 · geth
nobs 4224
R² 0.8015
coef (ms) 1.576e-06
p-value 1.00e-03
95% CI [1.549e-06, 1.605e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.801
Model: NNLS Adj. R-squared: 0.801
No. Observations: 4224 RMSE: 23.52
Df Residuals: 4222 MAE: 18.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.5009 1.3881 0.001 40.7889 46.0937
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH0 · test_push · combo PUSH0 · nethermind
nobs 1177
R² 0.829
coef (ms) 7.225e-07
p-value 1.00e-03
95% CI [7.034e-07, 7.426e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 1177 RMSE: 9.84
Df Residuals: 1175 MAE: 7.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.5875 0.9210 0.001 12.8317 16.3695
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH0 · test_push · combo PUSH0 · reth
nobs 99
R² 0.869
coef (ms) 4.327e-07
p-value 1.00e-03
95% CI [3.972e-07, 4.678e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.868
No. Observations: 99 RMSE: 5.04
Df Residuals: 97 MAE: 3.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.3937 1.5685 0.001 4.4138 10.4519
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH1 · test_push · combo PUSH1 · besu
nobs 3773
R² 0.5216
coef (ms) 3.259e-06
p-value 1.00e-03
95% CI [3.157e-06, 3.361e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.522
Model: NNLS Adj. R-squared: 0.522
No. Observations: 3773 RMSE: 63.34
Df Residuals: 3771 MAE: 56.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 61.7653 3.0778 0.001 55.5958 67.6713
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH1 · test_push · combo PUSH1 · erigon
nobs 253
R² 0.4737
coef (ms) 1.432e-06
p-value 1.00e-03
95% CI [1.272e-06, 1.531e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.474
Model: NNLS Adj. R-squared: 0.472
No. Observations: 253 RMSE: 30.64
Df Residuals: 251 MAE: 8.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.0706 6.1503 0.001 21.8062 44.6700
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH1 · test_push · combo PUSH1 · ethrex
nobs 1606
R² 0.8104
coef (ms) 6.209e-07
p-value 1.00e-03
95% CI [6.067e-07, 6.379e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.810
No. Observations: 1606 RMSE: 6.09
Df Residuals: 1604 MAE: 4.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6365 0.4959 0.001 11.6173 13.5552
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH1 · test_push · combo PUSH1 · geth
nobs 4224
R² 0.7913
coef (ms) 1.697e-06
p-value 1.00e-03
95% CI [1.669e-06, 1.727e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.791
Model: NNLS Adj. R-squared: 0.791
No. Observations: 4224 RMSE: 17.68
Df Residuals: 4222 MAE: 14.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.2742 0.9903 0.001 31.2802 35.1601
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH1 · test_push · combo PUSH1 · nethermind
nobs 1177
R² 0.8728
coef (ms) 7.996e-07
p-value 1.00e-03
95% CI [7.798e-07, 8.178e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.873
Model: NNLS Adj. R-squared: 0.873
No. Observations: 1177 RMSE: 6.19
Df Residuals: 1175 MAE: 4.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.2873 0.6121 0.001 11.1214 13.5160
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH1 · test_push · combo PUSH1 · reth
nobs 99
R² 0.8173
coef (ms) 5.061e-07
p-value 1.00e-03
95% CI [4.568e-07, 5.603e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.815
No. Observations: 99 RMSE: 4.86
Df Residuals: 97 MAE: 3.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.1188 1.6910 0.001 5.7573 12.3712
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH10 · test_push · combo PUSH10 · besu
nobs 3773
R² 0.5263
coef (ms) 3.278e-06
p-value 1.00e-03
95% CI [3.185e-06, 3.374e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.526
Model: NNLS Adj. R-squared: 0.526
No. Observations: 3773 RMSE: 63.10
Df Residuals: 3771 MAE: 56.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.0527 3.0157 0.001 53.9258 66.1777
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH10 · test_push · combo PUSH10 · erigon
nobs 253
R² 0.5799
coef (ms) 3.472e-06
p-value 1.00e-03
95% CI [3.124e-06, 3.867e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.580
Model: NNLS Adj. R-squared: 0.578
No. Observations: 253 RMSE: 59.97
Df Residuals: 251 MAE: 25.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.8376 10.8179 0.004 9.2576 52.5396
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH10 · test_push · combo PUSH10 · ethrex
nobs 1606
R² 0.8034
coef (ms) 6.713e-07
p-value 1.00e-03
95% CI [6.531e-07, 6.89e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 1606 RMSE: 6.74
Df Residuals: 1604 MAE: 5.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.4687 0.5889 0.001 13.3403 15.6282
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH10 · test_push · combo PUSH10 · geth
nobs 4224
R² 0.8343
coef (ms) 2.409e-06
p-value 1.00e-03
95% CI [2.373e-06, 2.447e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 4224 RMSE: 21.79
Df Residuals: 4222 MAE: 18.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.7787 1.2961 0.001 41.2184 46.2734
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH10 · test_push · combo PUSH10 · nethermind
nobs 1177
R² 0.6401
coef (ms) 7.882e-07
p-value 1.00e-03
95% CI [7.498e-07, 8.44e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.640
Model: NNLS Adj. R-squared: 0.640
No. Observations: 1177 RMSE: 11.99
Df Residuals: 1175 MAE: 5.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.4188 1.2785 0.001 14.5574 19.5532
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH10 · test_push · combo PUSH10 · reth
nobs 99
R² 0.84
coef (ms) 4.721e-07
p-value 1.00e-03
95% CI [4.36e-07, 5.125e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.838
No. Observations: 99 RMSE: 4.18
Df Residuals: 97 MAE: 3.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.5066 1.3148 0.001 8.6808 14.0331
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH11 · test_push · combo PUSH11 · besu
nobs 3773
R² 0.5257
coef (ms) 3.276e-06
p-value 1.00e-03
95% CI [3.176e-06, 3.369e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.526
Model: NNLS Adj. R-squared: 0.526
No. Observations: 3773 RMSE: 63.15
Df Residuals: 3771 MAE: 56.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.1824 3.1072 0.001 54.4239 66.1733
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH11 · test_push · combo PUSH11 · erigon
nobs 253
R² 0.9034
coef (ms) 3.389e-06
p-value 1.00e-03
95% CI [3.258e-06, 3.511e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.903
Model: NNLS Adj. R-squared: 0.903
No. Observations: 253 RMSE: 22.48
Df Residuals: 251 MAE: 17.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.4058 4.2612 0.001 22.3945 38.7070
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH11 · test_push · combo PUSH11 · ethrex
nobs 1606
R² 0.8129
coef (ms) 7.263e-07
p-value 1.00e-03
95% CI [7.081e-07, 7.441e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.813
No. Observations: 1606 RMSE: 7.07
Df Residuals: 1604 MAE: 5.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.3561 0.5926 0.001 13.1540 15.4826
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH11 · test_push · combo PUSH11 · geth
nobs 4224
R² 0.8367
coef (ms) 2.388e-06
p-value 1.00e-03
95% CI [2.351e-06, 2.422e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.837
Model: NNLS Adj. R-squared: 0.837
No. Observations: 4224 RMSE: 21.41
Df Residuals: 4222 MAE: 17.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.8757 1.2345 0.001 40.5292 45.3686
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH11 · test_push · combo PUSH11 · nethermind
nobs 1177
R² 0.8572
coef (ms) 7.756e-07
p-value 1.00e-03
95% CI [7.561e-07, 7.965e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.857
Model: NNLS Adj. R-squared: 0.857
No. Observations: 1177 RMSE: 6.42
Df Residuals: 1175 MAE: 4.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.2526 0.6276 0.001 17.9975 20.4395
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH11 · test_push · combo PUSH11 · reth
nobs 99
R² 0.8071
coef (ms) 4.983e-07
p-value 1.00e-03
95% CI [4.483e-07, 5.449e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.807
Model: NNLS Adj. R-squared: 0.805
No. Observations: 99 RMSE: 4.94
Df Residuals: 97 MAE: 3.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9691 1.5251 0.001 7.0874 12.9745
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH12 · test_push · combo PUSH12 · besu
nobs 3773
R² 0.5258
coef (ms) 3.237e-06
p-value 1.00e-03
95% CI [3.138e-06, 3.337e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.526
Model: NNLS Adj. R-squared: 0.526
No. Observations: 3773 RMSE: 62.38
Df Residuals: 3771 MAE: 56.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 68.5040 3.0399 0.001 62.2312 74.5316
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH12 · test_push · combo PUSH12 · erigon
nobs 253
R² 0.5682
coef (ms) 3.33e-06
p-value 1.00e-03
95% CI [3.028e-06, 3.633e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.568
Model: NNLS Adj. R-squared: 0.566
No. Observations: 253 RMSE: 58.91
Df Residuals: 251 MAE: 24.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.4157 10.8979 0.001 21.5199 63.8781
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH12 · test_push · combo PUSH12 · ethrex
nobs 1606
R² 0.8145
coef (ms) 7.022e-07
p-value 1.00e-03
95% CI [6.844e-07, 7.189e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.814
Model: NNLS Adj. R-squared: 0.814
No. Observations: 1606 RMSE: 6.80
Df Residuals: 1604 MAE: 5.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.3263 0.5550 0.001 13.2902 15.4942
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH12 · test_push · combo PUSH12 · geth
nobs 4224
R² 0.8371
coef (ms) 2.414e-06
p-value 1.00e-03
95% CI [2.38e-06, 2.45e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.837
Model: NNLS Adj. R-squared: 0.837
No. Observations: 4224 RMSE: 21.61
Df Residuals: 4222 MAE: 17.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.9804 1.2350 0.001 41.5830 46.3132
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH12 · test_push · combo PUSH12 · nethermind
nobs 1177
R² 0.8268
coef (ms) 7.835e-07
p-value 1.00e-03
95% CI [7.656e-07, 8.019e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.827
No. Observations: 1177 RMSE: 7.28
Df Residuals: 1175 MAE: 4.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.1194 0.5698 0.001 15.9679 18.1692
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH12 · test_push · combo PUSH12 · reth
nobs 99
R² 0.8463
coef (ms) 5.076e-07
p-value 1.00e-03
95% CI [4.677e-07, 5.529e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.846
Model: NNLS Adj. R-squared: 0.845
No. Observations: 99 RMSE: 4.39
Df Residuals: 97 MAE: 3.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.0308 1.2930 0.001 6.4455 11.4506
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH13 · test_push · combo PUSH13 · besu
nobs 3773
R² 0.5277
coef (ms) 3.279e-06
p-value 1.00e-03
95% CI [3.178e-06, 3.373e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.528
Model: NNLS Adj. R-squared: 0.528
No. Observations: 3773 RMSE: 62.94
Df Residuals: 3771 MAE: 56.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.2569 3.0618 0.001 54.4871 66.2317
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH13 · test_push · combo PUSH13 · erigon
nobs 253
R² 0.7622
coef (ms) 3.389e-06
p-value 1.00e-03
95% CI [3.262e-06, 3.513e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.762
Model: NNLS Adj. R-squared: 0.761
No. Observations: 253 RMSE: 38.42
Df Residuals: 251 MAE: 20.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.0908 4.6291 0.001 24.5703 42.5693
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH13 · test_push · combo PUSH13 · ethrex
nobs 1606
R² 0.8051
coef (ms) 7.174e-07
p-value 1.00e-03
95% CI [6.973e-07, 7.357e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.805
No. Observations: 1606 RMSE: 7.16
Df Residuals: 1604 MAE: 5.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.1757 0.6207 0.001 14.0162 16.4072
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH13 · test_push · combo PUSH13 · geth
nobs 4224
R² 0.8441
coef (ms) 2.4e-06
p-value 1.00e-03
95% CI [2.363e-06, 2.433e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.844
Model: NNLS Adj. R-squared: 0.844
No. Observations: 4224 RMSE: 20.93
Df Residuals: 4222 MAE: 17.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.3571 1.2013 0.001 40.0978 44.8701
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH13 · test_push · combo PUSH13 · nethermind
nobs 1177
R² 0.8655
coef (ms) 7.724e-07
p-value 1.00e-03
95% CI [7.544e-07, 7.916e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.865
No. Observations: 1177 RMSE: 6.18
Df Residuals: 1175 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.9399 0.5882 0.001 17.7687 20.0828
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH13 · test_push · combo PUSH13 · reth
nobs 99
R² 0.8698
coef (ms) 5.158e-07
p-value 1.00e-03
95% CI [4.759e-07, 5.607e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.868
No. Observations: 99 RMSE: 4.05
Df Residuals: 97 MAE: 3.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.6476 1.3419 0.001 5.7600 11.2242
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH14 · test_push · combo PUSH14 · besu
nobs 3773
R² 0.5294
coef (ms) 3.291e-06
p-value 1.00e-03
95% CI [3.196e-06, 3.393e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.529
Model: NNLS Adj. R-squared: 0.529
No. Observations: 3773 RMSE: 62.97
Df Residuals: 3771 MAE: 56.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.8042 3.0976 0.001 53.6871 65.5238
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH14 · test_push · combo PUSH14 · erigon
nobs 253
R² 0.8104
coef (ms) 3.488e-06
p-value 1.00e-03
95% CI [3.354e-06, 3.621e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.810
No. Observations: 253 RMSE: 34.23
Df Residuals: 251 MAE: 19.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.7592 4.1625 0.001 24.9760 41.7369
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH14 · test_push · combo PUSH14 · ethrex
nobs 1606
R² 0.8144
coef (ms) 7.431e-07
p-value 1.00e-03
95% CI [7.241e-07, 7.628e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.814
Model: NNLS Adj. R-squared: 0.814
No. Observations: 1606 RMSE: 7.20
Df Residuals: 1604 MAE: 5.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.8988 0.6272 0.001 14.6437 17.1479
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH14 · test_push · combo PUSH14 · geth
nobs 4224
R² 0.8431
coef (ms) 2.649e-06
p-value 1.00e-03
95% CI [2.612e-06, 2.686e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.843
No. Observations: 4224 RMSE: 23.19
Df Residuals: 4222 MAE: 18.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.9708 1.3021 0.001 42.3435 47.5098
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH14 · test_push · combo PUSH14 · nethermind
nobs 1177
R² 0.8695
coef (ms) 7.802e-07
p-value 1.00e-03
95% CI [7.621e-07, 7.998e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.869
No. Observations: 1177 RMSE: 6.13
Df Residuals: 1175 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.7791 0.5773 0.001 17.6269 19.8583
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH14 · test_push · combo PUSH14 · reth
nobs 99
R² 0.8268
coef (ms) 5.445e-07
p-value 1.00e-03
95% CI [4.906e-07, 5.924e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.825
No. Observations: 99 RMSE: 5.06
Df Residuals: 97 MAE: 4.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.4977 1.5918 0.001 7.7049 13.8272
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH15 · test_push · combo PUSH15 · besu
nobs 3773
R² 0.5327
coef (ms) 3.296e-06
p-value 1.00e-03
95% CI [3.193e-06, 3.391e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.533
Model: NNLS Adj. R-squared: 0.533
No. Observations: 3773 RMSE: 62.65
Df Residuals: 3771 MAE: 56.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.1667 3.1643 0.001 54.2803 66.4303
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH15 · test_push · combo PUSH15 · erigon
nobs 253
R² 0.796
coef (ms) 3.45e-06
p-value 1.00e-03
95% CI [3.29e-06, 3.622e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.796
Model: NNLS Adj. R-squared: 0.795
No. Observations: 253 RMSE: 35.44
Df Residuals: 251 MAE: 20.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.8208 4.8215 0.001 27.8346 46.6024
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH15 · test_push · combo PUSH15 · ethrex
nobs 1606
R² 0.8096
coef (ms) 7.503e-07
p-value 1.00e-03
95% CI [7.305e-07, 7.684e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.809
No. Observations: 1606 RMSE: 7.38
Df Residuals: 1604 MAE: 5.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.4497 0.6363 0.001 14.2704 16.6524
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH15 · test_push · combo PUSH15 · geth
nobs 4224
R² 0.812
coef (ms) 2.653e-06
p-value 1.00e-03
95% CI [2.612e-06, 2.696e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.812
Model: NNLS Adj. R-squared: 0.812
No. Observations: 4224 RMSE: 25.91
Df Residuals: 4222 MAE: 20.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.3425 1.3907 0.001 42.6679 48.1491
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH15 · test_push · combo PUSH15 · nethermind
nobs 1177
R² 0.6294
coef (ms) 7.58e-07
p-value 1.00e-03
95% CI [7.246e-07, 7.875e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.629
Model: NNLS Adj. R-squared: 0.629
No. Observations: 1177 RMSE: 11.80
Df Residuals: 1175 MAE: 5.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.1016 1.2618 0.001 18.8968 23.6440
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH15 · test_push · combo PUSH15 · reth
nobs 99
R² 0.8589
coef (ms) 5.11e-07
p-value 1.00e-03
95% CI [4.67e-07, 5.544e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.857
No. Observations: 99 RMSE: 4.20
Df Residuals: 97 MAE: 3.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.5680 1.5526 0.001 8.5413 14.7611
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH16 · test_push · combo PUSH16 · besu
nobs 3773
R² 0.5289
coef (ms) 3.282e-06
p-value 1.00e-03
95% CI [3.183e-06, 3.382e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.529
Model: NNLS Adj. R-squared: 0.529
No. Observations: 3773 RMSE: 62.86
Df Residuals: 3771 MAE: 56.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.5315 3.1417 0.001 54.5765 66.6993
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH16 · test_push · combo PUSH16 · erigon
nobs 253
R² 0.7415
coef (ms) 3.448e-06
p-value 1.00e-03
95% CI [3.29e-06, 3.623e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.742
Model: NNLS Adj. R-squared: 0.741
No. Observations: 253 RMSE: 41.30
Df Residuals: 251 MAE: 21.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.1850 5.4983 0.001 19.5348 41.7889
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH16 · test_push · combo PUSH16 · ethrex
nobs 1606
R² 0.8201
coef (ms) 6.906e-07
p-value 1.00e-03
95% CI [6.723e-07, 7.076e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.820
Model: NNLS Adj. R-squared: 0.820
No. Observations: 1606 RMSE: 6.56
Df Residuals: 1604 MAE: 5.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.1481 0.5681 0.001 13.1105 15.3334
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH16 · test_push · combo PUSH16 · geth
nobs 4224
R² 0.8452
coef (ms) 2.43e-06
p-value 1.00e-03
95% CI [2.397e-06, 2.466e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.845
No. Observations: 4224 RMSE: 21.10
Df Residuals: 4222 MAE: 17.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.6418 1.2104 0.001 39.1359 43.9152
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH16 · test_push · combo PUSH16 · nethermind
nobs 1177
R² 0.8517
coef (ms) 7.423e-07
p-value 1.00e-03
95% CI [7.233e-07, 7.623e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.852
Model: NNLS Adj. R-squared: 0.852
No. Observations: 1177 RMSE: 6.29
Df Residuals: 1175 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.2010 0.6110 0.001 17.0254 19.3891
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH16 · test_push · combo PUSH16 · reth
nobs 101
R² 0.8414
coef (ms) 4.737e-07
p-value 1.00e-03
95% CI [4.344e-07, 5.154e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.840
No. Observations: 101 RMSE: 4.21
Df Residuals: 99 MAE: 3.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.6533 1.4649 0.001 7.8477 13.4988
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH17 · test_push · combo PUSH17 · besu
nobs 3773
R² 0.5342
coef (ms) 3.308e-06
p-value 1.00e-03
95% CI [3.213e-06, 3.403e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.534
Model: NNLS Adj. R-squared: 0.534
No. Observations: 3773 RMSE: 62.67
Df Residuals: 3771 MAE: 55.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.0545 3.0226 0.001 53.1295 64.7016
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH17 · test_push · combo PUSH17 · erigon
nobs 253
R² 0.7342
coef (ms) 3.343e-06
p-value 1.00e-03
95% CI [3.182e-06, 3.519e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.734
Model: NNLS Adj. R-squared: 0.733
No. Observations: 253 RMSE: 40.83
Df Residuals: 251 MAE: 20.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.7927 4.8972 0.001 27.2903 47.0356
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH17 · test_push · combo PUSH17 · ethrex
nobs 1606
R² 0.8238
coef (ms) 7.207e-07
p-value 1.00e-03
95% CI [7.028e-07, 7.383e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.824
Model: NNLS Adj. R-squared: 0.824
No. Observations: 1606 RMSE: 6.76
Df Residuals: 1604 MAE: 5.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.4902 0.5591 0.001 13.3856 15.5861
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH17 · test_push · combo PUSH17 · geth
nobs 4224
R² 0.8482
coef (ms) 2.469e-06
p-value 1.00e-03
95% CI [2.435e-06, 2.501e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.848
No. Observations: 4224 RMSE: 21.19
Df Residuals: 4222 MAE: 17.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.5037 1.1749 0.001 38.3773 42.9270
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH17 · test_push · combo PUSH17 · nethermind
nobs 1177
R² 0.5663
coef (ms) 7.836e-07
p-value 1.00e-03
95% CI [7.313e-07, 8.433e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.566
Model: NNLS Adj. R-squared: 0.566
No. Observations: 1177 RMSE: 13.92
Df Residuals: 1175 MAE: 5.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.9761 1.7112 0.001 15.7201 22.2458
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH17 · test_push · combo PUSH17 · reth
nobs 110
R² 0.7422
coef (ms) 4.722e-07
p-value 1.00e-03
95% CI [4.297e-07, 5.2e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.742
Model: NNLS Adj. R-squared: 0.740
No. Observations: 110 RMSE: 5.65
Df Residuals: 108 MAE: 4.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.7029 1.6191 0.001 8.4471 14.7738
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH18 · test_push · combo PUSH18 · besu
nobs 3773
R² 0.5277
coef (ms) 3.3e-06
p-value 1.00e-03
95% CI [3.198e-06, 3.402e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.528
Model: NNLS Adj. R-squared: 0.528
No. Observations: 3773 RMSE: 63.36
Df Residuals: 3771 MAE: 56.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.1924 3.1378 0.001 53.6933 65.9477
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH18 · test_push · combo PUSH18 · erigon
nobs 253
R² 0.7277
coef (ms) 3.287e-06
p-value 1.00e-03
95% CI [3.035e-06, 3.485e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.728
Model: NNLS Adj. R-squared: 0.727
No. Observations: 253 RMSE: 40.80
Df Residuals: 251 MAE: 20.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.5566 9.0108 0.001 27.4223 60.9585
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH18 · test_push · combo PUSH18 · ethrex
nobs 1606
R² 0.8084
coef (ms) 7.129e-07
p-value 1.00e-03
95% CI [6.946e-07, 7.332e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.808
No. Observations: 1606 RMSE: 7.04
Df Residuals: 1604 MAE: 5.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.0786 0.6137 0.001 12.8300 15.2282
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH18 · test_push · combo PUSH18 · geth
nobs 4224
R² 0.8525
coef (ms) 2.459e-06
p-value 1.00e-03
95% CI [2.425e-06, 2.491e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.852
Model: NNLS Adj. R-squared: 0.852
No. Observations: 4224 RMSE: 20.76
Df Residuals: 4222 MAE: 17.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.6400 1.1772 0.001 39.4826 43.9148
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH18 · test_push · combo PUSH18 · nethermind
nobs 1177
R² 0.6705
coef (ms) 7.728e-07
p-value 1.00e-03
95% CI [7.489e-07, 7.99e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.671
Model: NNLS Adj. R-squared: 0.670
No. Observations: 1177 RMSE: 10.99
Df Residuals: 1175 MAE: 5.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.4774 0.6654 0.001 18.1663 20.8079
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH18 · test_push · combo PUSH18 · reth
nobs 110
R² 0.8237
coef (ms) 5.766e-07
p-value 1.00e-03
95% CI [5.271e-07, 6.273e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.824
Model: NNLS Adj. R-squared: 0.822
No. Observations: 110 RMSE: 5.41
Df Residuals: 108 MAE: 4.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.3495 1.6096 0.001 5.2590 11.4622
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH19 · test_push · combo PUSH19 · besu
nobs 3773
R² 0.5292
coef (ms) 3.285e-06
p-value 1.00e-03
95% CI [3.186e-06, 3.389e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.529
Model: NNLS Adj. R-squared: 0.529
No. Observations: 3773 RMSE: 62.89
Df Residuals: 3771 MAE: 56.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.3934 3.0705 0.001 53.9650 66.3013
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH19 · test_push · combo PUSH19 · erigon
nobs 253
R² 0.6529
coef (ms) 3.135e-06
p-value 1.00e-03
95% CI [2.83e-06, 3.384e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.653
Model: NNLS Adj. R-squared: 0.651
No. Observations: 253 RMSE: 46.39
Df Residuals: 251 MAE: 23.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.2114 11.0263 0.001 34.3880 76.4752
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH19 · test_push · combo PUSH19 · ethrex
nobs 1606
R² 0.8122
coef (ms) 7.276e-07
p-value 1.00e-03
95% CI [7.084e-07, 7.48e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.812
Model: NNLS Adj. R-squared: 0.812
No. Observations: 1606 RMSE: 7.10
Df Residuals: 1604 MAE: 5.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.7336 0.6236 0.001 13.4407 15.9403
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH19 · test_push · combo PUSH19 · geth
nobs 4224
R² 0.8442
coef (ms) 2.457e-06
p-value 1.00e-03
95% CI [2.423e-06, 2.49e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.844
Model: NNLS Adj. R-squared: 0.844
No. Observations: 4224 RMSE: 21.42
Df Residuals: 4222 MAE: 17.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.8118 1.2287 0.001 39.4725 44.1487
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH19 · test_push · combo PUSH19 · nethermind
nobs 1177
R² 0.6751
coef (ms) 7.716e-07
p-value 1.00e-03
95% CI [7.4e-07, 7.988e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.675
Model: NNLS Adj. R-squared: 0.675
No. Observations: 1177 RMSE: 10.86
Df Residuals: 1175 MAE: 5.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.3508 1.1629 0.001 18.4786 22.8509
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH19 · test_push · combo PUSH19 · reth
nobs 110
R² 0.7951
coef (ms) 5.162e-07
p-value 1.00e-03
95% CI [4.713e-07, 5.565e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.795
Model: NNLS Adj. R-squared: 0.793
No. Observations: 110 RMSE: 5.32
Df Residuals: 108 MAE: 3.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.1491 1.5495 0.001 9.2861 15.3832
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH2 · test_push · combo PUSH2 · besu
nobs 3773
R² 0.5246
coef (ms) 3.262e-06
p-value 1.00e-03
95% CI [3.157e-06, 3.36e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.525
Model: NNLS Adj. R-squared: 0.524
No. Observations: 3773 RMSE: 63.02
Df Residuals: 3771 MAE: 56.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.5826 3.2621 0.001 54.4719 66.8238
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH2 · test_push · combo PUSH2 · erigon
nobs 253
R² 0.937
coef (ms) 3.19e-06
p-value 1.00e-03
95% CI [3.086e-06, 3.283e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.937
Model: NNLS Adj. R-squared: 0.937
No. Observations: 253 RMSE: 16.78
Df Residuals: 251 MAE: 14.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.6724 3.6287 0.001 25.6582 39.8492
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH2 · test_push · combo PUSH2 · ethrex
nobs 1606
R² 0.7985
coef (ms) 6.792e-07
p-value 1.00e-03
95% CI [6.619e-07, 6.974e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.798
No. Observations: 1606 RMSE: 6.92
Df Residuals: 1604 MAE: 5.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.1179 0.5811 0.001 12.9918 15.2348
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH2 · test_push · combo PUSH2 · geth
nobs 4224
R² 0.8177
coef (ms) 1.734e-06
p-value 1.00e-03
95% CI [1.706e-06, 1.761e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.818
No. Observations: 4224 RMSE: 16.61
Df Residuals: 4222 MAE: 13.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.4180 0.9409 0.001 28.5933 32.2875
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH2 · test_push · combo PUSH2 · nethermind
nobs 1177
R² 0.7181
coef (ms) 9.516e-07
p-value 1.00e-03
95% CI [9.273e-07, 9.744e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.718
Model: NNLS Adj. R-squared: 0.718
No. Observations: 1177 RMSE: 12.10
Df Residuals: 1175 MAE: 5.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.7542 0.7444 0.001 15.2674 18.2834
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH2 · test_push · combo PUSH2 · reth
nobs 110
R² 0.779
coef (ms) 4.893e-07
p-value 1.00e-03
95% CI [4.408e-07, 5.436e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.779
Model: NNLS Adj. R-squared: 0.777
No. Observations: 110 RMSE: 5.29
Df Residuals: 108 MAE: 4.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1981 1.6276 0.001 7.9193 14.3363
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH20 · test_push · combo PUSH20 · besu
nobs 3773
R² 0.5308
coef (ms) 3.305e-06
p-value 1.00e-03
95% CI [3.204e-06, 3.399e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.531
Model: NNLS Adj. R-squared: 0.531
No. Observations: 3773 RMSE: 63.12
Df Residuals: 3771 MAE: 56.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.2331 3.0503 0.001 53.4442 65.2568
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH20 · test_push · combo PUSH20 · erigon
nobs 253
R² 0.7336
coef (ms) 3.165e-06
p-value 1.00e-03
95% CI [2.857e-06, 3.405e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.734
Model: NNLS Adj. R-squared: 0.733
No. Observations: 253 RMSE: 38.74
Df Residuals: 251 MAE: 21.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.2732 11.2175 0.001 30.7504 73.6215
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH20 · test_push · combo PUSH20 · ethrex
nobs 1606
R² 0.8246
coef (ms) 7.339e-07
p-value 1.00e-03
95% CI [7.153e-07, 7.524e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.825
Model: NNLS Adj. R-squared: 0.824
No. Observations: 1606 RMSE: 6.88
Df Residuals: 1604 MAE: 5.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.4293 0.5793 0.001 12.2789 14.5804
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH20 · test_push · combo PUSH20 · geth
nobs 4224
R² 0.7864
coef (ms) 2.364e-06
p-value 1.00e-03
95% CI [2.324e-06, 2.403e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.786
Model: NNLS Adj. R-squared: 0.786
No. Observations: 4224 RMSE: 25.03
Df Residuals: 4222 MAE: 17.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.3701 1.2901 0.001 36.8786 41.8850
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH20 · test_push · combo PUSH20 · nethermind
nobs 1177
R² 0.8757
coef (ms) 8.243e-07
p-value 1.00e-03
95% CI [8.052e-07, 8.441e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.876
Model: NNLS Adj. R-squared: 0.876
No. Observations: 1177 RMSE: 6.31
Df Residuals: 1175 MAE: 4.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.5738 0.6610 0.001 13.2778 15.8186
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH20 · test_push · combo PUSH20 · reth
nobs 110
R² 0.8392
coef (ms) 5.293e-07
p-value 1.00e-03
95% CI [4.858e-07, 5.736e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.838
No. Observations: 110 RMSE: 4.71
Df Residuals: 108 MAE: 3.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.0286 1.4737 0.001 8.0457 13.9292
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH21 · test_push · combo PUSH21 · besu
nobs 3773
R² 0.529
coef (ms) 3.293e-06
p-value 1.00e-03
95% CI [3.198e-06, 3.396e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.529
Model: NNLS Adj. R-squared: 0.529
No. Observations: 3773 RMSE: 63.06
Df Residuals: 3771 MAE: 56.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.2237 3.0742 0.001 54.2334 65.9789
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH21 · test_push · combo PUSH21 · erigon
nobs 253
R² 0.6929
coef (ms) 3.533e-06
p-value 1.00e-03
95% CI [3.307e-06, 3.758e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.693
Model: NNLS Adj. R-squared: 0.692
No. Observations: 253 RMSE: 47.73
Df Residuals: 251 MAE: 22.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.4971 8.0938 0.001 19.5392 50.5793
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH21 · test_push · combo PUSH21 · ethrex
nobs 1606
R² 0.8013
coef (ms) 7.165e-07
p-value 1.00e-03
95% CI [6.988e-07, 7.367e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.801
Model: NNLS Adj. R-squared: 0.801
No. Observations: 1606 RMSE: 7.24
Df Residuals: 1604 MAE: 5.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.1519 0.6065 0.001 13.9340 16.2508
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH21 · test_push · combo PUSH21 · geth
nobs 4224
R² 0.8471
coef (ms) 2.637e-06
p-value 1.00e-03
95% CI [2.599e-06, 2.673e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.847
Model: NNLS Adj. R-squared: 0.847
No. Observations: 4224 RMSE: 22.73
Df Residuals: 4222 MAE: 18.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.4827 1.3147 0.001 41.8921 47.1078
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH21 · test_push · combo PUSH21 · nethermind
nobs 1177
R² 0.8671
coef (ms) 7.865e-07
p-value 1.00e-03
95% CI [7.672e-07, 8.07e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.867
No. Observations: 1177 RMSE: 6.25
Df Residuals: 1175 MAE: 4.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.3279 0.5887 0.001 18.1154 20.4627
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH21 · test_push · combo PUSH21 · reth
nobs 110
R² 0.8669
coef (ms) 5.789e-07
p-value 1.00e-03
95% CI [5.359e-07, 6.27e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 110 RMSE: 4.60
Df Residuals: 108 MAE: 3.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.0337 1.5769 0.001 4.9480 11.0617
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH22 · test_push · combo PUSH22 · besu
nobs 3773
R² 0.5569
coef (ms) 3.467e-06
p-value 1.00e-03
95% CI [3.373e-06, 3.571e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.557
Model: NNLS Adj. R-squared: 0.557
No. Observations: 3773 RMSE: 62.75
Df Residuals: 3771 MAE: 55.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.0291 3.1042 0.001 46.0692 57.8679
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH22 · test_push · combo PUSH22 · erigon
nobs 253
R² 0.6625
coef (ms) 3.39e-06
p-value 1.00e-03
95% CI [3.193e-06, 3.533e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.663
Model: NNLS Adj. R-squared: 0.661
No. Observations: 253 RMSE: 49.09
Df Residuals: 251 MAE: 22.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.8539 8.1201 0.001 28.7644 60.2666
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH22 · test_push · combo PUSH22 · ethrex
nobs 1606
R² 0.8163
coef (ms) 7.444e-07
p-value 1.00e-03
95% CI [7.248e-07, 7.636e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.816
Model: NNLS Adj. R-squared: 0.816
No. Observations: 1606 RMSE: 7.16
Df Residuals: 1604 MAE: 5.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.5330 0.6423 0.001 13.3237 15.7921
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH22 · test_push · combo PUSH22 · geth
nobs 4224
R² 0.8403
coef (ms) 2.638e-06
p-value 1.00e-03
95% CI [2.599e-06, 2.677e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.840
No. Observations: 4224 RMSE: 23.34
Df Residuals: 4222 MAE: 18.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.7701 1.3303 0.001 42.0925 47.2723
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH22 · test_push · combo PUSH22 · nethermind
nobs 1177
R² 0.8702
coef (ms) 7.794e-07
p-value 1.00e-03
95% CI [7.599e-07, 7.96e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.870
No. Observations: 1177 RMSE: 6.11
Df Residuals: 1175 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.7704 0.5854 0.001 18.6154 20.8855
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH22 · test_push · combo PUSH22 · reth
nobs 110
R² 0.8328
coef (ms) 5.37e-07
p-value 1.00e-03
95% CI [4.968e-07, 5.818e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.831
No. Observations: 110 RMSE: 4.88
Df Residuals: 108 MAE: 4.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.4168 1.4254 0.001 8.6316 14.1235
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH23 · test_push · combo PUSH23 · besu
nobs 3773
R² 0.5861
coef (ms) 3.872e-06
p-value 1.00e-03
95% CI [3.76e-06, 3.974e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.586
Model: NNLS Adj. R-squared: 0.586
No. Observations: 3773 RMSE: 66.04
Df Residuals: 3771 MAE: 57.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.3000 3.1907 0.001 26.8932 39.8625
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH23 · test_push · combo PUSH23 · erigon
nobs 253
R² 0.8506
coef (ms) 3.319e-06
p-value 1.00e-03
95% CI [3.092e-06, 3.487e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.850
No. Observations: 253 RMSE: 28.22
Df Residuals: 251 MAE: 19.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.4580 7.6762 0.001 31.3787 61.7120
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH23 · test_push · combo PUSH23 · ethrex
nobs 1606
R² 0.8004
coef (ms) 7.567e-07
p-value 1.00e-03
95% CI [7.369e-07, 7.763e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.800
No. Observations: 1606 RMSE: 7.67
Df Residuals: 1604 MAE: 6.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.0175 0.6588 0.001 14.7253 17.2755
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH23 · test_push · combo PUSH23 · geth
nobs 4224
R² 0.8427
coef (ms) 2.621e-06
p-value 1.00e-03
95% CI [2.584e-06, 2.659e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.843
No. Observations: 4224 RMSE: 22.98
Df Residuals: 4222 MAE: 18.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.6504 1.3145 0.001 43.1224 48.1555
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH23 · test_push · combo PUSH23 · nethermind
nobs 1177
R² 0.8754
coef (ms) 8.083e-07
p-value 1.00e-03
95% CI [7.901e-07, 8.268e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.875
Model: NNLS Adj. R-squared: 0.875
No. Observations: 1177 RMSE: 6.19
Df Residuals: 1175 MAE: 4.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.6304 0.5760 0.001 18.4744 20.7464
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH23 · test_push · combo PUSH23 · reth
nobs 110
R² 0.8216
coef (ms) 5.268e-07
p-value 1.00e-03
95% CI [4.777e-07, 5.696e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.822
Model: NNLS Adj. R-squared: 0.820
No. Observations: 110 RMSE: 4.98
Df Residuals: 108 MAE: 3.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.8958 1.7248 0.001 7.6586 14.3409
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH24 · test_push · combo PUSH24 · besu
nobs 3773
R² 0.5292
coef (ms) 3.295e-06
p-value 1.00e-03
95% CI [3.193e-06, 3.394e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.529
Model: NNLS Adj. R-squared: 0.529
No. Observations: 3773 RMSE: 63.08
Df Residuals: 3771 MAE: 56.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.4413 3.1013 0.001 54.5932 66.5486
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH24 · test_push · combo PUSH24 · erigon
nobs 253
R² 0.7631
coef (ms) 3.343e-06
p-value 1.00e-03
95% CI [3.228e-06, 3.451e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.763
Model: NNLS Adj. R-squared: 0.762
No. Observations: 253 RMSE: 37.80
Df Residuals: 251 MAE: 19.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.4173 4.3191 0.001 28.8576 45.5205
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH24 · test_push · combo PUSH24 · ethrex
nobs 1606
R² 0.8203
coef (ms) 7.017e-07
p-value 1.00e-03
95% CI [6.839e-07, 7.191e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.820
Model: NNLS Adj. R-squared: 0.820
No. Observations: 1606 RMSE: 6.66
Df Residuals: 1604 MAE: 5.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.7120 0.5823 0.001 12.6076 14.8740
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH24 · test_push · combo PUSH24 · geth
nobs 4224
R² 0.8336
coef (ms) 2.444e-06
p-value 1.00e-03
95% CI [2.409e-06, 2.482e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 4224 RMSE: 22.16
Df Residuals: 4222 MAE: 17.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.3634 1.2738 0.001 39.8955 44.7426
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH24 · test_push · combo PUSH24 · nethermind
nobs 1177
R² 0.8577
coef (ms) 7.681e-07
p-value 1.00e-03
95% CI [7.485e-07, 7.867e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.858
No. Observations: 1177 RMSE: 6.35
Df Residuals: 1175 MAE: 4.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.8161 0.6071 0.001 18.6462 20.9747
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH24 · test_push · combo PUSH24 · reth
nobs 110
R² 0.8371
coef (ms) 4.734e-07
p-value 1.00e-03
95% CI [4.385e-07, 5.112e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.837
Model: NNLS Adj. R-squared: 0.836
No. Observations: 110 RMSE: 4.24
Df Residuals: 108 MAE: 3.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.4971 1.2685 0.001 8.9818 14.0529
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH25 · test_push · combo PUSH25 · besu
nobs 3773
R² 0.53
coef (ms) 3.296e-06
p-value 1.00e-03
95% CI [3.198e-06, 3.393e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.530
Model: NNLS Adj. R-squared: 0.530
No. Observations: 3773 RMSE: 62.99
Df Residuals: 3771 MAE: 56.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.2409 3.0451 0.001 54.3471 65.9583
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH25 · test_push · combo PUSH25 · erigon
nobs 253
R² 0.8985
coef (ms) 3.276e-06
p-value 1.00e-03
95% CI [3.123e-06, 3.413e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.898
No. Observations: 253 RMSE: 22.34
Df Residuals: 251 MAE: 18.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.0795 4.9959 0.001 30.3747 50.7330
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH25 · test_push · combo PUSH25 · ethrex
nobs 1606
R² 0.805
coef (ms) 7.298e-07
p-value 1.00e-03
95% CI [7.103e-07, 7.503e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.805
No. Observations: 1606 RMSE: 7.29
Df Residuals: 1604 MAE: 5.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.3309 0.6354 0.001 13.1110 15.5362
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH25 · test_push · combo PUSH25 · geth
nobs 4224
R² 0.8385
coef (ms) 2.44e-06
p-value 1.00e-03
95% CI [2.403e-06, 2.476e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.839
No. Observations: 4224 RMSE: 21.72
Df Residuals: 4222 MAE: 17.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.5562 1.2360 0.001 40.1450 44.9873
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH25 · test_push · combo PUSH25 · nethermind
nobs 1177
R² 0.6878
coef (ms) 7.869e-07
p-value 1.00e-03
95% CI [7.64e-07, 8.138e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.688
Model: NNLS Adj. R-squared: 0.687
No. Observations: 1177 RMSE: 10.76
Df Residuals: 1175 MAE: 4.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.8091 0.6191 0.001 17.5864 20.0294
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH25 · test_push · combo PUSH25 · reth
nobs 110
R² 0.8179
coef (ms) 4.797e-07
p-value 1.00e-03
95% CI [4.406e-07, 5.195e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.816
No. Observations: 110 RMSE: 4.59
Df Residuals: 108 MAE: 3.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.7647 1.2870 0.001 9.2878 14.2354
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH26 · test_push · combo PUSH26 · besu
nobs 3773
R² 0.5383
coef (ms) 3.341e-06
p-value 1.00e-03
95% CI [3.242e-06, 3.441e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.538
Model: NNLS Adj. R-squared: 0.538
No. Observations: 3773 RMSE: 62.80
Df Residuals: 3771 MAE: 56.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 57.8449 3.1578 0.001 51.8280 63.6702
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH26 · test_push · combo PUSH26 · erigon
nobs 253
R² 0.7343
coef (ms) 3.335e-06
p-value 1.00e-03
95% CI [3.161e-06, 3.497e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.734
Model: NNLS Adj. R-squared: 0.733
No. Observations: 253 RMSE: 40.71
Df Residuals: 251 MAE: 21.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.9285 5.7135 0.001 29.1227 51.5803
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH26 · test_push · combo PUSH26 · ethrex
nobs 1606
R² 0.8018
coef (ms) 7.266e-07
p-value 1.00e-03
95% CI [7.073e-07, 7.458e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.802
Model: NNLS Adj. R-squared: 0.802
No. Observations: 1606 RMSE: 7.33
Df Residuals: 1604 MAE: 5.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.6795 0.6094 0.001 13.4933 15.8231
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH26 · test_push · combo PUSH26 · geth
nobs 4224
R² 0.8435
coef (ms) 2.422e-06
p-value 1.00e-03
95% CI [2.385e-06, 2.456e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.843
No. Observations: 4224 RMSE: 21.18
Df Residuals: 4222 MAE: 17.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.7442 1.2255 0.001 38.3439 43.2439
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH26 · test_push · combo PUSH26 · nethermind
nobs 1177
R² 0.8665
coef (ms) 7.774e-07
p-value 1.00e-03
95% CI [7.588e-07, 7.962e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 1177 RMSE: 6.19
Df Residuals: 1175 MAE: 4.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.2881 0.5835 0.001 18.0987 20.4485
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH26 · test_push · combo PUSH26 · reth
nobs 110
R² 0.8596
coef (ms) 5.202e-07
p-value 1.00e-03
95% CI [4.85e-07, 5.584e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.860
Model: NNLS Adj. R-squared: 0.858
No. Observations: 110 RMSE: 4.27
Df Residuals: 108 MAE: 3.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.8308 1.1901 0.001 6.4662 11.0375
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH27 · test_push · combo PUSH27 · besu
nobs 3773
R² 0.5301
coef (ms) 3.296e-06
p-value 1.00e-03
95% CI [3.204e-06, 3.397e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.530
Model: NNLS Adj. R-squared: 0.530
No. Observations: 3773 RMSE: 62.98
Df Residuals: 3771 MAE: 56.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.0601 3.0490 0.001 54.0317 65.6337
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH27 · test_push · combo PUSH27 · erigon
nobs 253
R² 0.8583
coef (ms) 3.379e-06
p-value 1.00e-03
95% CI [3.211e-06, 3.529e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.858
No. Observations: 253 RMSE: 27.86
Df Residuals: 251 MAE: 20.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.3847 5.6574 0.001 25.2317 47.2848
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH27 · test_push · combo PUSH27 · ethrex
nobs 1606
R² 0.8041
coef (ms) 7.213e-07
p-value 1.00e-03
95% CI [7.021e-07, 7.4e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.804
No. Observations: 1606 RMSE: 7.23
Df Residuals: 1604 MAE: 5.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.0095 0.6201 0.001 13.8173 16.2242
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH27 · test_push · combo PUSH27 · geth
nobs 4224
R² 0.8431
coef (ms) 2.458e-06
p-value 1.00e-03
95% CI [2.423e-06, 2.493e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.843
No. Observations: 4224 RMSE: 21.52
Df Residuals: 4222 MAE: 17.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.7389 1.1785 0.001 39.4966 44.1260
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH27 · test_push · combo PUSH27 · nethermind
nobs 1177
R² 0.8505
coef (ms) 7.924e-07
p-value 1.00e-03
95% CI [7.708e-07, 8.133e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.850
Model: NNLS Adj. R-squared: 0.850
No. Observations: 1177 RMSE: 6.74
Df Residuals: 1175 MAE: 4.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.3796 0.6963 0.001 17.9977 20.7648
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH27 · test_push · combo PUSH27 · reth
nobs 110
R² 0.7621
coef (ms) 5.17e-07
p-value 1.00e-03
95% CI [4.612e-07, 5.809e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.762
Model: NNLS Adj. R-squared: 0.760
No. Observations: 110 RMSE: 5.86
Df Residuals: 108 MAE: 4.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.0332 1.8428 0.001 7.4462 14.5493
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH28 · test_push · combo PUSH28 · besu
nobs 3773
R² 0.5379
coef (ms) 3.378e-06
p-value 1.00e-03
95% CI [3.275e-06, 3.483e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.538
Model: NNLS Adj. R-squared: 0.538
No. Observations: 3773 RMSE: 63.53
Df Residuals: 3771 MAE: 56.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.6233 3.1753 0.001 50.2785 62.7781
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH28 · test_push · combo PUSH28 · erigon
nobs 253
R² 0.7397
coef (ms) 3.502e-06
p-value 1.00e-03
95% CI [3.234e-06, 3.869e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.740
Model: NNLS Adj. R-squared: 0.739
No. Observations: 253 RMSE: 42.16
Df Residuals: 251 MAE: 21.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.4057 9.5365 0.002 7.3897 44.4166
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH28 · test_push · combo PUSH28 · ethrex
nobs 1606
R² 0.8044
coef (ms) 7.225e-07
p-value 1.00e-03
95% CI [7.028e-07, 7.412e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.804
No. Observations: 1606 RMSE: 7.23
Df Residuals: 1604 MAE: 5.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.7459 0.6099 0.001 13.5559 15.9521
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH28 · test_push · combo PUSH28 · geth
nobs 4224
R² 0.8407
coef (ms) 2.438e-06
p-value 1.00e-03
95% CI [2.401e-06, 2.478e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.841
No. Observations: 4224 RMSE: 21.53
Df Residuals: 4222 MAE: 17.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.3013 1.2862 0.001 39.8008 44.7534
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH28 · test_push · combo PUSH28 · nethermind
nobs 1177
R² 0.8713
coef (ms) 7.946e-07
p-value 1.00e-03
95% CI [7.761e-07, 8.13e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 1177 RMSE: 6.20
Df Residuals: 1175 MAE: 4.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.2340 0.5849 0.001 17.1024 19.3732
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH28 · test_push · combo PUSH28 · reth
nobs 110
R² 0.7924
coef (ms) 5.108e-07
p-value 1.00e-03
95% CI [4.633e-07, 5.6e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.790
No. Observations: 110 RMSE: 5.31
Df Residuals: 108 MAE: 4.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9589 1.5109 0.001 6.9735 12.7858
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH29 · test_push · combo PUSH29 · besu
nobs 3773
R² 0.5394
coef (ms) 3.335e-06
p-value 1.00e-03
95% CI [3.236e-06, 3.432e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.539
Model: NNLS Adj. R-squared: 0.539
No. Observations: 3773 RMSE: 62.54
Df Residuals: 3771 MAE: 55.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 57.9895 3.0136 0.001 52.0931 64.0460
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH29 · test_push · combo PUSH29 · erigon
nobs 253
R² 0.7782
coef (ms) 3.704e-06
p-value 1.00e-03
95% CI [3.444e-06, 4.04e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.778
Model: NNLS Adj. R-squared: 0.777
No. Observations: 253 RMSE: 40.13
Df Residuals: 251 MAE: 22.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.9719 8.1873 0.007 5.5049 37.7928
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH29 · test_push · combo PUSH29 · ethrex
nobs 1606
R² 0.8119
coef (ms) 7.266e-07
p-value 1.00e-03
95% CI [7.075e-07, 7.449e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.812
Model: NNLS Adj. R-squared: 0.812
No. Observations: 1606 RMSE: 7.10
Df Residuals: 1604 MAE: 5.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.7547 0.6049 0.001 13.5982 15.8748
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH29 · test_push · combo PUSH29 · geth
nobs 4224
R² 0.8448
coef (ms) 2.617e-06
p-value 1.00e-03
95% CI [2.576e-06, 2.655e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.845
No. Observations: 4224 RMSE: 22.76
Df Residuals: 4222 MAE: 18.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.8431 1.3276 0.001 42.1085 47.4913
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH29 · test_push · combo PUSH29 · nethermind
nobs 1177
R² 0.8681
coef (ms) 7.965e-07
p-value 1.00e-03
95% CI [7.783e-07, 8.168e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 1177 RMSE: 6.30
Df Residuals: 1175 MAE: 4.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.4080 0.6154 0.001 18.1387 20.5797
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH29 · test_push · combo PUSH29 · reth
nobs 110
R² 0.77
coef (ms) 5.388e-07
p-value 1.00e-03
95% CI [4.792e-07, 6.104e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.768
No. Observations: 110 RMSE: 5.98
Df Residuals: 108 MAE: 4.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.0201 1.9338 0.001 6.9638 14.4625
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH3 · test_push · combo PUSH3 · besu
nobs 3773
R² 0.5263
coef (ms) 3.272e-06
p-value 1.00e-03
95% CI [3.171e-06, 3.37e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.526
Model: NNLS Adj. R-squared: 0.526
No. Observations: 3773 RMSE: 63.00
Df Residuals: 3771 MAE: 56.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.2558 3.1483 0.001 53.9916 66.5609
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH3 · test_push · combo PUSH3 · erigon
nobs 253
R² 0.7524
coef (ms) 3.203e-06
p-value 1.00e-03
95% CI [2.826e-06, 3.456e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.752
Model: NNLS Adj. R-squared: 0.751
No. Observations: 253 RMSE: 37.29
Df Residuals: 251 MAE: 19.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.0509 12.3158 0.001 27.1795 73.6657
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH3 · test_push · combo PUSH3 · ethrex
nobs 1606
R² 0.8176
coef (ms) 7.28e-07
p-value 1.00e-03
95% CI [7.091e-07, 7.468e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.817
No. Observations: 1606 RMSE: 6.98
Df Residuals: 1604 MAE: 5.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.6409 0.5946 0.001 13.4604 15.7895
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH3 · test_push · combo PUSH3 · geth
nobs 4224
R² 0.8319
coef (ms) 2.42e-06
p-value 1.00e-03
95% CI [2.383e-06, 2.456e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 4224 RMSE: 22.08
Df Residuals: 4222 MAE: 17.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.4543 1.2691 0.001 40.9702 45.9922
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH3 · test_push · combo PUSH3 · nethermind
nobs 1177
R² 0.8155
coef (ms) 8.504e-07
p-value 1.00e-03
95% CI [8.224e-07, 8.842e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.815
No. Observations: 1177 RMSE: 8.21
Df Residuals: 1175 MAE: 5.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.2414 0.9055 0.001 11.3344 14.8711
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH3 · test_push · combo PUSH3 · reth
nobs 110
R² 0.8414
coef (ms) 4.687e-07
p-value 1.00e-03
95% CI [4.319e-07, 5.036e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.840
No. Observations: 110 RMSE: 4.13
Df Residuals: 108 MAE: 3.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.4497 1.2306 0.001 9.1763 13.9132
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH30 · test_push · combo PUSH30 · besu
nobs 3773
R² 0.5297
coef (ms) 3.287e-06
p-value 1.00e-03
95% CI [3.186e-06, 3.376e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.530
Model: NNLS Adj. R-squared: 0.530
No. Observations: 3773 RMSE: 62.86
Df Residuals: 3771 MAE: 56.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.7145 3.0106 0.001 55.4176 66.9543
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH30 · test_push · combo PUSH30 · erigon
nobs 253
R² 0.5417
coef (ms) 3.367e-06
p-value 1.00e-03
95% CI [2.918e-06, 3.81e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.542
Model: NNLS Adj. R-squared: 0.540
No. Observations: 253 RMSE: 62.85
Df Residuals: 251 MAE: 27.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.3447 15.0492 0.001 22.2722 79.5905
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH30 · test_push · combo PUSH30 · ethrex
nobs 1606
R² 0.8064
coef (ms) 7.205e-07
p-value 1.00e-03
95% CI [7.025e-07, 7.383e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.806
Model: NNLS Adj. R-squared: 0.806
No. Observations: 1606 RMSE: 7.17
Df Residuals: 1604 MAE: 5.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.9102 0.5816 0.001 13.8124 16.0498
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH30 · test_push · combo PUSH30 · geth
nobs 4224
R² 0.8456
coef (ms) 2.602e-06
p-value 1.00e-03
95% CI [2.568e-06, 2.64e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.846
Model: NNLS Adj. R-squared: 0.846
No. Observations: 4224 RMSE: 22.56
Df Residuals: 4222 MAE: 18.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.9047 1.3177 0.001 43.4180 48.3938
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH30 · test_push · combo PUSH30 · nethermind
nobs 1177
R² 0.8603
coef (ms) 8.12e-07
p-value 1.00e-03
95% CI [7.918e-07, 8.321e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.860
Model: NNLS Adj. R-squared: 0.860
No. Observations: 1177 RMSE: 6.64
Df Residuals: 1175 MAE: 4.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.7233 0.6571 0.001 17.4031 19.9815
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH30 · test_push · combo PUSH30 · reth
nobs 110
R² 0.8452
coef (ms) 5.269e-07
p-value 1.00e-03
95% CI [4.836e-07, 5.726e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.844
No. Observations: 110 RMSE: 4.58
Df Residuals: 108 MAE: 3.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.7479 1.3270 0.001 8.9974 14.2747
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH31 · test_push · combo PUSH31 · besu
nobs 3773
R² 0.5286
coef (ms) 3.287e-06
p-value 1.00e-03
95% CI [3.183e-06, 3.386e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.529
Model: NNLS Adj. R-squared: 0.528
No. Observations: 3773 RMSE: 62.98
Df Residuals: 3771 MAE: 56.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.8803 3.1127 0.001 54.8284 66.9783
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH31 · test_push · combo PUSH31 · erigon
nobs 253
R² 0.697
coef (ms) 3.544e-06
p-value 1.00e-03
95% CI [3.204e-06, 3.927e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.697
Model: NNLS Adj. R-squared: 0.696
No. Observations: 253 RMSE: 47.42
Df Residuals: 251 MAE: 24.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.9500 11.6040 0.003 11.4491 56.7478
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH31 · test_push · combo PUSH31 · ethrex
nobs 1606
R² 0.803
coef (ms) 7.735e-07
p-value 1.00e-03
95% CI [7.537e-07, 7.929e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 1606 RMSE: 7.78
Df Residuals: 1604 MAE: 6.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.1461 0.6400 0.001 13.9302 16.4150
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH31 · test_push · combo PUSH31 · geth
nobs 4224
R² 0.8394
coef (ms) 2.64e-06
p-value 1.00e-03
95% CI [2.603e-06, 2.68e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.839
No. Observations: 4224 RMSE: 23.43
Df Residuals: 4222 MAE: 19.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.9156 1.3689 0.001 43.1914 48.4623
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH31 · test_push · combo PUSH31 · nethermind
nobs 1177
R² 0.8517
coef (ms) 8.122e-07
p-value 1.00e-03
95% CI [7.947e-07, 8.315e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.852
Model: NNLS Adj. R-squared: 0.852
No. Observations: 1177 RMSE: 6.88
Df Residuals: 1175 MAE: 5.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.4672 0.6401 0.001 18.1773 20.6405
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH31 · test_push · combo PUSH31 · reth
nobs 110
R² 0.844
coef (ms) 5.291e-07
p-value 1.00e-03
95% CI [4.864e-07, 5.738e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.844
Model: NNLS Adj. R-squared: 0.843
No. Observations: 110 RMSE: 4.62
Df Residuals: 108 MAE: 3.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.0016 1.3694 0.001 8.1268 13.5646
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH32 · test_push · combo PUSH32 · besu
nobs 3773
R² 0.5346
coef (ms) 3.193e-06
p-value 1.00e-03
95% CI [3.093e-06, 3.286e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.535
Model: NNLS Adj. R-squared: 0.535
No. Observations: 3773 RMSE: 60.38
Df Residuals: 3771 MAE: 53.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.9012 2.9904 0.001 57.2615 68.7099
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH32 · test_push · combo PUSH32 · erigon
nobs 253
R² 0.6288
coef (ms) 3.121e-06
p-value 1.00e-03
95% CI [2.691e-06, 3.466e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.629
Model: NNLS Adj. R-squared: 0.627
No. Observations: 253 RMSE: 48.60
Df Residuals: 251 MAE: 24.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 57.0641 15.5271 0.001 31.4946 90.3226
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH32 · test_push · combo PUSH32 · ethrex
nobs 1606
R² 0.8064
coef (ms) 7.778e-07
p-value 1.00e-03
95% CI [7.569e-07, 7.987e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.806
Model: NNLS Adj. R-squared: 0.806
No. Observations: 1606 RMSE: 7.73
Df Residuals: 1604 MAE: 6.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.0327 0.6672 0.001 13.7486 16.3130
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH32 · test_push · combo PUSH32 · geth
nobs 4224
R² 0.8168
coef (ms) 2.29e-06
p-value 1.00e-03
95% CI [2.254e-06, 2.326e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.817
No. Observations: 4224 RMSE: 21.98
Df Residuals: 4222 MAE: 17.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.7852 1.2211 0.001 37.5088 42.2175
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH32 · test_push · combo PUSH32 · nethermind
nobs 1177
R² 0.8589
coef (ms) 7.799e-07
p-value 1.00e-03
95% CI [7.603e-07, 7.984e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.859
No. Observations: 1177 RMSE: 6.41
Df Residuals: 1175 MAE: 4.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.3518 0.6315 0.001 13.1271 15.6088
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH32 · test_push · combo PUSH32 · reth
nobs 110
R² 0.8477
coef (ms) 5.125e-07
p-value 1.00e-03
95% CI [4.712e-07, 5.578e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.846
No. Observations: 110 RMSE: 4.40
Df Residuals: 108 MAE: 3.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9454 1.3158 0.001 7.3406 12.4627
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH4 · test_push · combo PUSH4 · besu
nobs 3773
R² 0.5268
coef (ms) 3.269e-06
p-value 1.00e-03
95% CI [3.172e-06, 3.365e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.527
Model: NNLS Adj. R-squared: 0.527
No. Observations: 3773 RMSE: 62.87
Df Residuals: 3771 MAE: 56.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.6036 3.0845 0.001 54.3782 66.4734
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH4 · test_push · combo PUSH4 · erigon
nobs 253
R² 0.6737
coef (ms) 3.215e-06
p-value 1.00e-03
95% CI [2.919e-06, 3.417e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.674
Model: NNLS Adj. R-squared: 0.672
No. Observations: 253 RMSE: 45.41
Df Residuals: 251 MAE: 20.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.2795 10.6527 0.001 27.9704 68.4002
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH4 · test_push · combo PUSH4 · ethrex
nobs 1606
R² 0.8072
coef (ms) 6.855e-07
p-value 1.00e-03
95% CI [6.682e-07, 7.037e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.807
Model: NNLS Adj. R-squared: 0.807
No. Observations: 1606 RMSE: 6.80
Df Residuals: 1604 MAE: 5.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.5188 0.5655 0.001 12.3993 14.5788
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH4 · test_push · combo PUSH4 · geth
nobs 4224
R² 0.8394
coef (ms) 2.444e-06
p-value 1.00e-03
95% CI [2.408e-06, 2.479e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.839
No. Observations: 4224 RMSE: 21.69
Df Residuals: 4222 MAE: 17.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.6146 1.2497 0.001 39.0876 43.9066
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH4 · test_push · combo PUSH4 · nethermind
nobs 1177
R² 0.863
coef (ms) 8.215e-07
p-value 1.00e-03
95% CI [8.007e-07, 8.412e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.863
No. Observations: 1177 RMSE: 6.64
Df Residuals: 1175 MAE: 5.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.1017 0.6762 0.001 13.8725 16.4505
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH4 · test_push · combo PUSH4 · reth
nobs 110
R² 0.8332
coef (ms) 4.957e-07
p-value 1.00e-03
95% CI [4.507e-07, 5.455e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.832
No. Observations: 110 RMSE: 4.50
Df Residuals: 108 MAE: 3.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.3312 1.3264 0.001 7.7009 12.8486
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH5 · test_push · combo PUSH5 · besu
nobs 3773
R² 0.5259
coef (ms) 3.268e-06
p-value 1.00e-03
95% CI [3.173e-06, 3.371e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.526
Model: NNLS Adj. R-squared: 0.526
No. Observations: 3773 RMSE: 62.96
Df Residuals: 3771 MAE: 56.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.4715 3.0987 0.001 54.3435 66.1970
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH5 · test_push · combo PUSH5 · erigon
nobs 253
R² 0.7602
coef (ms) 3.356e-06
p-value 1.00e-03
95% CI [3.18e-06, 3.547e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.760
Model: NNLS Adj. R-squared: 0.759
No. Observations: 253 RMSE: 38.25
Df Residuals: 251 MAE: 18.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.5302 6.3617 0.001 21.6913 47.7354
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH5 · test_push · combo PUSH5 · ethrex
nobs 1606
R² 0.8373
coef (ms) 7.71e-07
p-value 1.00e-03
95% CI [7.542e-07, 7.894e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.837
Model: NNLS Adj. R-squared: 0.837
No. Observations: 1606 RMSE: 6.90
Df Residuals: 1604 MAE: 5.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.3376 0.5834 0.001 11.2084 13.4317
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH5 · test_push · combo PUSH5 · geth
nobs 4224
R² 0.8371
coef (ms) 2.371e-06
p-value 1.00e-03
95% CI [2.337e-06, 2.404e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.837
Model: NNLS Adj. R-squared: 0.837
No. Observations: 4224 RMSE: 21.22
Df Residuals: 4222 MAE: 17.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.3277 1.1894 0.001 40.0274 44.8052
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH5 · test_push · combo PUSH5 · nethermind
nobs 1177
R² 0.8658
coef (ms) 7.78e-07
p-value 1.00e-03
95% CI [7.595e-07, 7.962e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.866
No. Observations: 1177 RMSE: 6.21
Df Residuals: 1175 MAE: 4.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.1268 0.5812 0.001 18.0252 20.2974
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH5 · test_push · combo PUSH5 · reth
nobs 110
R² 0.8681
coef (ms) 5.002e-07
p-value 1.00e-03
95% CI [4.629e-07, 5.369e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.867
No. Observations: 110 RMSE: 3.96
Df Residuals: 108 MAE: 3.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.5600 1.1719 0.001 7.2739 11.8241
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH6 · test_push · combo PUSH6 · besu
nobs 3773
R² 0.6134
coef (ms) 4.482e-06
p-value 1.00e-03
95% CI [4.369e-06, 4.6e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.613
Model: NNLS Adj. R-squared: 0.613
No. Observations: 3773 RMSE: 72.21
Df Residuals: 3771 MAE: 65.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.9461 3.4712 0.001 16.2846 30.1684
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH6 · test_push · combo PUSH6 · erigon
nobs 253
R² 0.7729
coef (ms) 3.148e-06
p-value 1.00e-03
95% CI [2.809e-06, 3.38e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.773
Model: NNLS Adj. R-squared: 0.772
No. Observations: 253 RMSE: 34.62
Df Residuals: 251 MAE: 19.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.2162 11.3213 0.001 30.2747 73.6173
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH6 · test_push · combo PUSH6 · ethrex
nobs 1606
R² 0.8106
coef (ms) 7.2e-07
p-value 1.00e-03
95% CI [7.019e-07, 7.364e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.810
No. Observations: 1606 RMSE: 7.06
Df Residuals: 1604 MAE: 5.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.8338 0.5806 0.001 13.7459 15.9901
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH6 · test_push · combo PUSH6 · geth
nobs 4224
R² 0.8406
coef (ms) 2.42e-06
p-value 1.00e-03
95% CI [2.384e-06, 2.452e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.841
No. Observations: 4224 RMSE: 21.39
Df Residuals: 4222 MAE: 17.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.6192 1.2200 0.001 40.4004 45.1795
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH6 · test_push · combo PUSH6 · nethermind
nobs 1177
R² 0.7744
coef (ms) 7.697e-07
p-value 1.00e-03
95% CI [7.486e-07, 7.893e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.774
Model: NNLS Adj. R-squared: 0.774
No. Observations: 1177 RMSE: 8.43
Df Residuals: 1175 MAE: 4.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.2634 0.7534 0.001 18.9205 21.7769
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH6 · test_push · combo PUSH6 · reth
nobs 110
R² 0.7993
coef (ms) 5.039e-07
p-value 1.00e-03
95% CI [4.57e-07, 5.494e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.799
Model: NNLS Adj. R-squared: 0.797
No. Observations: 110 RMSE: 5.12
Df Residuals: 108 MAE: 3.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.8862 1.5309 0.001 6.9221 12.8438
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH7 · test_push · combo PUSH7 · besu
nobs 3773
R² 0.542
coef (ms) 3.728e-06
p-value 1.00e-03
95% CI [3.622e-06, 3.84e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.542
Model: NNLS Adj. R-squared: 0.542
No. Observations: 3773 RMSE: 69.53
Df Residuals: 3771 MAE: 62.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 71.1195 3.2059 0.001 64.6201 77.5654
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH7 · test_push · combo PUSH7 · erigon
nobs 253
R² 0.6161
coef (ms) 3.512e-06
p-value 1.00e-03
95% CI [3.256e-06, 3.796e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.616
Model: NNLS Adj. R-squared: 0.615
No. Observations: 253 RMSE: 56.26
Df Residuals: 251 MAE: 25.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.9364 9.3437 0.001 20.5035 56.8659
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH7 · test_push · combo PUSH7 · ethrex
nobs 1606
R² 0.8198
coef (ms) 8.102e-07
p-value 1.00e-03
95% CI [7.888e-07, 8.311e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.820
Model: NNLS Adj. R-squared: 0.820
No. Observations: 1606 RMSE: 7.71
Df Residuals: 1604 MAE: 6.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.5506 0.6947 0.001 14.2802 16.9529
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH7 · test_push · combo PUSH7 · geth
nobs 4224
R² 0.8382
coef (ms) 2.584e-06
p-value 1.00e-03
95% CI [2.545e-06, 2.618e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.838
Model: NNLS Adj. R-squared: 0.838
No. Observations: 4224 RMSE: 23.04
Df Residuals: 4222 MAE: 18.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.0983 1.2915 0.001 43.8445 48.7433
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH7 · test_push · combo PUSH7 · nethermind
nobs 1177
R² 0.8708
coef (ms) 8.132e-07
p-value 1.00e-03
95% CI [7.947e-07, 8.325e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 1177 RMSE: 6.36
Df Residuals: 1175 MAE: 4.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.5481 0.5930 0.001 18.3940 20.7006
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH7 · test_push · combo PUSH7 · reth
nobs 110
R² 0.8526
coef (ms) 4.89e-07
p-value 1.00e-03
95% CI [4.502e-07, 5.32e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.851
No. Observations: 110 RMSE: 4.13
Df Residuals: 108 MAE: 3.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.6332 1.3334 0.001 7.9981 13.2830
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH8 · test_push · combo PUSH8 · besu
nobs 3773
R² 0.5664
coef (ms) 3.222e-06
p-value 1.00e-03
95% CI [3.124e-06, 3.319e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.566
Model: NNLS Adj. R-squared: 0.566
No. Observations: 3773 RMSE: 57.21
Df Residuals: 3771 MAE: 49.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 71.2955 2.9603 0.001 65.3168 76.9187
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH8 · test_push · combo PUSH8 · erigon
nobs 253
R² 0.7789
coef (ms) 3.412e-06
p-value 1.00e-03
95% CI [3.279e-06, 3.542e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.779
Model: NNLS Adj. R-squared: 0.778
No. Observations: 253 RMSE: 36.88
Df Residuals: 251 MAE: 19.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.7180 4.0425 0.001 23.0060 38.9334
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH8 · test_push · combo PUSH8 · ethrex
nobs 1606
R² 0.7903
coef (ms) 6.821e-07
p-value 1.00e-03
95% CI [6.641e-07, 7.02e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.790
Model: NNLS Adj. R-squared: 0.790
No. Observations: 1606 RMSE: 7.13
Df Residuals: 1604 MAE: 5.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.2743 0.6047 0.001 13.0884 15.4559
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH8 · test_push · combo PUSH8 · geth
nobs 4224
R² 0.8386
coef (ms) 2.392e-06
p-value 1.00e-03
95% CI [2.357e-06, 2.426e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.839
No. Observations: 4224 RMSE: 21.30
Df Residuals: 4222 MAE: 17.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.6267 1.2352 0.001 41.3158 46.0226
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH8 · test_push · combo PUSH8 · nethermind
nobs 1177
R² 0.8491
coef (ms) 7.297e-07
p-value 1.00e-03
95% CI [7.096e-07, 7.505e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.849
No. Observations: 1177 RMSE: 6.24
Df Residuals: 1175 MAE: 4.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.7115 0.6279 0.001 18.4484 20.9036
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH8 · test_push · combo PUSH8 · reth
nobs 110
R² 0.8307
coef (ms) 5.174e-07
p-value 1.00e-03
95% CI [4.778e-07, 5.625e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.831
Model: NNLS Adj. R-squared: 0.829
No. Observations: 110 RMSE: 4.74
Df Residuals: 108 MAE: 3.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.3967 1.2875 0.001 5.7724 10.6798
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH9 · test_push · combo PUSH9 · besu
nobs 3773
R² 0.5304
coef (ms) 3.268e-06
p-value 1.00e-03
95% CI [3.173e-06, 3.37e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.530
Model: NNLS Adj. R-squared: 0.530
No. Observations: 3773 RMSE: 62.41
Df Residuals: 3771 MAE: 55.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 61.8504 3.0547 0.001 56.0815 67.6806
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH9 · test_push · combo PUSH9 · erigon
nobs 253
R² 0.6663
coef (ms) 3.369e-06
p-value 1.00e-03
95% CI [3.127e-06, 3.629e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.666
Model: NNLS Adj. R-squared: 0.665
No. Observations: 253 RMSE: 48.38
Df Residuals: 251 MAE: 21.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.2633 7.8458 0.001 20.6149 51.8338
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH9 · test_push · combo PUSH9 · ethrex
nobs 1606
R² 0.8152
coef (ms) 6.977e-07
p-value 1.00e-03
95% CI [6.804e-07, 7.167e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.815
No. Observations: 1606 RMSE: 6.74
Df Residuals: 1604 MAE: 5.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.2302 0.5721 0.001 12.0658 14.2587
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH9 · test_push · combo PUSH9 · geth
nobs 4224
R² 0.8318
coef (ms) 2.369e-06
p-value 1.00e-03
95% CI [2.333e-06, 2.402e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 4224 RMSE: 21.61
Df Residuals: 4222 MAE: 17.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.0392 1.2302 0.001 40.7826 45.3686
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH9 · test_push · combo PUSH9 · nethermind
nobs 1177
R² 0.8423
coef (ms) 7.507e-07
p-value 1.00e-03
95% CI [7.325e-07, 7.695e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.842
Model: NNLS Adj. R-squared: 0.842
No. Observations: 1177 RMSE: 6.59
Df Residuals: 1175 MAE: 5.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.7991 0.5918 0.001 18.6126 20.8418
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PUSH9 · test_push · combo PUSH9 · reth
nobs 110
R² 0.8368
coef (ms) 5.083e-07
p-value 1.00e-03
95% CI [4.697e-07, 5.491e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.837
Model: NNLS Adj. R-squared: 0.835
No. Observations: 110 RMSE: 4.55
Df Residuals: 108 MAE: 3.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.4248 1.2194 0.001 6.9936 11.7860
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP1 · test_dup · combo DUP1 · besu
nobs 3773
R² 0.4363
coef (ms) 2.869e-06
p-value 1.00e-03
95% CI [2.761e-06, 2.972e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.436
Model: NNLS Adj. R-squared: 0.436
No. Observations: 3773 RMSE: 66.12
Df Residuals: 3771 MAE: 59.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.9212 3.2034 0.001 47.5734 60.4228
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP1 · test_dup · combo DUP1 · erigon
nobs 253
R² 0.9538
coef (ms) 1.712e-06
p-value 1.00e-03
95% CI [1.662e-06, 1.76e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.954
Model: NNLS Adj. R-squared: 0.954
No. Observations: 253 RMSE: 7.65
Df Residuals: 251 MAE: 6.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.8003 1.6641 0.001 20.6866 27.3330
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP1 · test_dup · combo DUP1 · ethrex
nobs 1606
R² 0.8258
coef (ms) 6.083e-07
p-value 1.00e-03
95% CI [5.929e-07, 6.237e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 1606 RMSE: 5.67
Df Residuals: 1604 MAE: 4.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.5006 0.4983 0.001 11.5300 13.4839
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP1 · test_dup · combo DUP1 · geth
nobs 4224
R² 0.8244
coef (ms) 1.832e-06
p-value 1.00e-03
95% CI [1.804e-06, 1.863e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.824
Model: NNLS Adj. R-squared: 0.824
No. Observations: 4224 RMSE: 17.15
Df Residuals: 4222 MAE: 13.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.2488 0.9827 0.001 27.2695 31.0541
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP1 · test_dup · combo DUP1 · nethermind
nobs 1177
R² 0.678
coef (ms) 7.699e-07
p-value 1.00e-03
95% CI [7.367e-07, 7.974e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.678
Model: NNLS Adj. R-squared: 0.678
No. Observations: 1177 RMSE: 10.76
Df Residuals: 1175 MAE: 5.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.8026 1.1614 0.001 11.9198 16.4652
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP1 · test_dup · combo DUP1 · reth
nobs 99
R² 0.8198
coef (ms) 4.922e-07
p-value 1.00e-03
95% CI [4.503e-07, 5.365e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.820
Model: NNLS Adj. R-squared: 0.818
No. Observations: 99 RMSE: 4.68
Df Residuals: 97 MAE: 3.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.3445 1.3423 0.001 10.6321 15.9361
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP10 · test_dup · combo DUP10 · besu
nobs 3773
R² 0.4769
coef (ms) 2.974e-06
p-value 1.00e-03
95% CI [2.878e-06, 3.066e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.477
Model: NNLS Adj. R-squared: 0.477
No. Observations: 3773 RMSE: 62.78
Df Residuals: 3771 MAE: 56.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.5406 2.8818 0.001 47.1647 58.5340
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP10 · test_dup · combo DUP10 · erigon
nobs 253
R² 0.2461
coef (ms) 1.543e-06
p-value 1.00e-03
95% CI [1.176e-06, 1.828e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.246
Model: NNLS Adj. R-squared: 0.243
No. Observations: 253 RMSE: 54.43
Df Residuals: 251 MAE: 15.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.0216 13.1396 0.001 19.9410 72.3845
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP10 · test_dup · combo DUP10 · ethrex
nobs 1606
R² 0.8219
coef (ms) 6.162e-07
p-value 1.00e-03
95% CI [6.037e-07, 6.302e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.822
Model: NNLS Adj. R-squared: 0.822
No. Observations: 1606 RMSE: 5.78
Df Residuals: 1604 MAE: 4.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.5381 0.4504 0.001 10.6365 12.3742
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP10 · test_dup · combo DUP10 · geth
nobs 4224
R² 0.7861
coef (ms) 1.806e-06
p-value 1.00e-03
95% CI [1.775e-06, 1.835e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.786
Model: NNLS Adj. R-squared: 0.786
No. Observations: 4224 RMSE: 18.99
Df Residuals: 4222 MAE: 15.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.4978 1.0222 0.001 32.5909 36.5064
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP10 · test_dup · combo DUP10 · nethermind
nobs 1177
R² 0.7924
coef (ms) 8e-07
p-value 1.00e-03
95% CI [7.747e-07, 8.24e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 1177 RMSE: 8.25
Df Residuals: 1175 MAE: 5.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.6890 0.8145 0.001 12.1378 15.4333
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP10 · test_dup · combo DUP10 · reth
nobs 99
R² 0.8414
coef (ms) 4.907e-07
p-value 1.00e-03
95% CI [4.514e-07, 5.315e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.840
No. Observations: 99 RMSE: 4.29
Df Residuals: 97 MAE: 3.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2496 1.3394 0.001 6.6278 11.7709
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP11 · test_dup · combo DUP11 · besu
nobs 3773
R² 0.4714
coef (ms) 2.936e-06
p-value 1.00e-03
95% CI [2.845e-06, 3.04e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.471
Model: NNLS Adj. R-squared: 0.471
No. Observations: 3773 RMSE: 62.64
Df Residuals: 3771 MAE: 56.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.1352 3.0124 0.001 47.7406 59.7705
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP11 · test_dup · combo DUP11 · erigon
nobs 253
R² 0.9349
coef (ms) 1.713e-06
p-value 1.00e-03
95% CI [1.653e-06, 1.778e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.935
Model: NNLS Adj. R-squared: 0.935
No. Observations: 253 RMSE: 9.11
Df Residuals: 251 MAE: 7.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.5725 1.9328 0.001 21.6396 29.3620
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP11 · test_dup · combo DUP11 · ethrex
nobs 1606
R² 0.8166
coef (ms) 5.876e-07
p-value 1.00e-03
95% CI [5.732e-07, 6.022e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.816
No. Observations: 1606 RMSE: 5.61
Df Residuals: 1604 MAE: 4.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.2568 0.4594 0.001 10.3674 12.1594
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP11 · test_dup · combo DUP11 · geth
nobs 4224
R² 0.7939
coef (ms) 1.817e-06
p-value 1.00e-03
95% CI [1.788e-06, 1.847e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.794
Model: NNLS Adj. R-squared: 0.794
No. Observations: 4224 RMSE: 18.66
Df Residuals: 4222 MAE: 14.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.5683 1.0108 0.001 30.6073 34.5146
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP11 · test_dup · combo DUP11 · nethermind
nobs 1177
R² 0.515
coef (ms) 8.443e-07
p-value 1.00e-03
95% CI [8.017e-07, 9.069e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.515
Model: NNLS Adj. R-squared: 0.515
No. Observations: 1177 RMSE: 16.50
Df Residuals: 1175 MAE: 5.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1375 1.4580 0.001 8.0603 13.4248
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP11 · test_dup · combo DUP11 · reth
nobs 99
R² 0.7793
coef (ms) 5.181e-07
p-value 1.00e-03
95% CI [4.618e-07, 5.773e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.779
Model: NNLS Adj. R-squared: 0.777
No. Observations: 99 RMSE: 5.55
Df Residuals: 97 MAE: 4.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.8259 1.7598 0.001 5.3117 12.3237
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP12 · test_dup · combo DUP12 · besu
nobs 3773
R² 0.4701
coef (ms) 2.938e-06
p-value 1.00e-03
95% CI [2.836e-06, 3.044e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.470
Model: NNLS Adj. R-squared: 0.470
No. Observations: 3773 RMSE: 62.81
Df Residuals: 3771 MAE: 56.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.4710 3.0990 0.001 48.4297 60.7120
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP12 · test_dup · combo DUP12 · erigon
nobs 253
R² 0.6158
coef (ms) 1.825e-06
p-value 1.00e-03
95% CI [1.673e-06, 2.088e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.616
Model: NNLS Adj. R-squared: 0.614
No. Observations: 253 RMSE: 29.01
Df Residuals: 251 MAE: 8.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.3338 5.4704 0.005 6.4603 27.3609
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP12 · test_dup · combo DUP12 · ethrex
nobs 1606
R² 0.8332
coef (ms) 6.097e-07
p-value 1.00e-03
95% CI [5.953e-07, 6.239e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.833
No. Observations: 1606 RMSE: 5.49
Df Residuals: 1604 MAE: 4.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.9755 0.4784 0.001 10.0713 11.9192
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP12 · test_dup · combo DUP12 · geth
nobs 4224
R² 0.8186
coef (ms) 1.877e-06
p-value 1.00e-03
95% CI [1.848e-06, 1.907e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.819
Model: NNLS Adj. R-squared: 0.819
No. Observations: 4224 RMSE: 17.78
Df Residuals: 4222 MAE: 14.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.4033 1.0195 0.001 29.3580 33.3436
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP12 · test_dup · combo DUP12 · nethermind
nobs 1177
R² 0.6965
coef (ms) 8.333e-07
p-value 1.00e-03
95% CI [8.068e-07, 8.638e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.697
Model: NNLS Adj. R-squared: 0.696
No. Observations: 1177 RMSE: 11.07
Df Residuals: 1175 MAE: 5.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.0260 0.7907 0.001 10.5011 13.5312
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP12 · test_dup · combo DUP12 · reth
nobs 99
R² 0.8448
coef (ms) 5.234e-07
p-value 1.00e-03
95% CI [4.766e-07, 5.663e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.843
No. Observations: 99 RMSE: 4.52
Df Residuals: 97 MAE: 3.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.9187 1.4157 0.001 6.2961 11.6770
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP13 · test_dup · combo DUP13 · besu
nobs 3773
R² 0.4781
coef (ms) 2.987e-06
p-value 1.00e-03
95% CI [2.885e-06, 3.089e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.478
Model: NNLS Adj. R-squared: 0.478
No. Observations: 3773 RMSE: 62.79
Df Residuals: 3771 MAE: 56.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.2600 3.0499 0.001 46.1612 58.2989
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP13 · test_dup · combo DUP13 · erigon
nobs 253
R² 0.5436
coef (ms) 1.715e-06
p-value 1.00e-03
95% CI [1.628e-06, 1.788e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.544
Model: NNLS Adj. R-squared: 0.542
No. Observations: 253 RMSE: 31.61
Df Residuals: 251 MAE: 9.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.4090 4.2225 0.001 20.7080 36.7367
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP13 · test_dup · combo DUP13 · ethrex
nobs 1606
R² 0.8299
coef (ms) 6.185e-07
p-value 1.00e-03
95% CI [6.04e-07, 6.328e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.830
No. Observations: 1606 RMSE: 5.63
Df Residuals: 1604 MAE: 4.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.6996 0.4685 0.001 9.7871 11.6049
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP13 · test_dup · combo DUP13 · geth
nobs 4224
R² 0.8293
coef (ms) 1.851e-06
p-value 1.00e-03
95% CI [1.823e-06, 1.881e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 4224 RMSE: 16.89
Df Residuals: 4222 MAE: 13.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.0003 0.9674 0.001 29.0408 32.7959
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP13 · test_dup · combo DUP13 · nethermind
nobs 1177
R² 0.8512
coef (ms) 8.189e-07
p-value 1.00e-03
95% CI [7.972e-07, 8.399e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.851
No. Observations: 1177 RMSE: 6.89
Df Residuals: 1175 MAE: 5.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.5452 0.6892 0.001 11.2487 13.9477
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP13 · test_dup · combo DUP13 · reth
nobs 99
R² 0.805
coef (ms) 4.874e-07
p-value 1.00e-03
95% CI [4.418e-07, 5.356e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.803
No. Observations: 99 RMSE: 4.83
Df Residuals: 97 MAE: 3.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.1172 1.6062 0.001 7.1682 13.1977
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP14 · test_dup · combo DUP14 · besu
nobs 3773
R² 0.4693
coef (ms) 2.939e-06
p-value 1.00e-03
95% CI [2.834e-06, 3.035e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.469
Model: NNLS Adj. R-squared: 0.469
No. Observations: 3773 RMSE: 62.83
Df Residuals: 3771 MAE: 56.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.6851 3.0138 0.001 48.9314 60.7426
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP14 · test_dup · combo DUP14 · erigon
nobs 253
R² 0.3644
coef (ms) 1.801e-06
p-value 1.00e-03
95% CI [1.71e-06, 1.918e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.364
Model: NNLS Adj. R-squared: 0.362
No. Observations: 253 RMSE: 47.81
Df Residuals: 251 MAE: 12.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.3562 2.4125 0.001 20.8940 30.5103
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP14 · test_dup · combo DUP14 · ethrex
nobs 1606
R² 0.8134
coef (ms) 6.013e-07
p-value 1.00e-03
95% CI [5.862e-07, 6.17e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.813
No. Observations: 1606 RMSE: 5.79
Df Residuals: 1604 MAE: 4.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.2130 0.4905 0.001 11.2164 13.1121
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP14 · test_dup · combo DUP14 · geth
nobs 4224
R² 0.8272
coef (ms) 1.896e-06
p-value 1.00e-03
95% CI [1.869e-06, 1.924e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.827
No. Observations: 4224 RMSE: 17.42
Df Residuals: 4222 MAE: 14.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.3556 0.9354 0.001 28.4989 32.1021
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP14 · test_dup · combo DUP14 · nethermind
nobs 1177
R² 0.5438
coef (ms) 8.108e-07
p-value 1.00e-03
95% CI [7.556e-07, 8.689e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.544
Model: NNLS Adj. R-squared: 0.543
No. Observations: 1177 RMSE: 14.93
Df Residuals: 1175 MAE: 5.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.6110 1.8887 0.001 10.1239 17.5752
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP14 · test_dup · combo DUP14 · reth
nobs 99
R² 0.8302
coef (ms) 4.728e-07
p-value 1.00e-03
95% CI [4.28e-07, 5.156e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.828
No. Observations: 99 RMSE: 4.30
Df Residuals: 97 MAE: 3.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9624 1.5429 0.001 7.0674 12.9727
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP15 · test_dup · combo DUP15 · besu
nobs 3773
R² 0.4715
coef (ms) 2.946e-06
p-value 1.00e-03
95% CI [2.853e-06, 3.042e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.472
Model: NNLS Adj. R-squared: 0.471
No. Observations: 3773 RMSE: 62.65
Df Residuals: 3771 MAE: 56.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.3629 2.9145 0.001 48.7136 59.6471
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP15 · test_dup · combo DUP15 · erigon
nobs 253
R² 0.9535
coef (ms) 1.741e-06
p-value 1.00e-03
95% CI [1.691e-06, 1.788e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.953
No. Observations: 253 RMSE: 7.73
Df Residuals: 251 MAE: 6.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.6371 1.6712 0.001 20.2914 26.8354
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP15 · test_dup · combo DUP15 · ethrex
nobs 1606
R² 0.827
coef (ms) 6.191e-07
p-value 1.00e-03
95% CI [6.029e-07, 6.345e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.827
No. Observations: 1606 RMSE: 5.69
Df Residuals: 1604 MAE: 4.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.8988 0.4931 0.001 9.9707 11.8792
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP15 · test_dup · combo DUP15 · geth
nobs 4224
R² 0.8234
coef (ms) 1.876e-06
p-value 1.00e-03
95% CI [1.846e-06, 1.902e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.823
Model: NNLS Adj. R-squared: 0.823
No. Observations: 4224 RMSE: 17.45
Df Residuals: 4222 MAE: 13.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.6767 0.9509 0.001 27.9524 31.6613
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP15 · test_dup · combo DUP15 · nethermind
nobs 1177
R² 0.8585
coef (ms) 8.206e-07
p-value 1.00e-03
95% CI [7.983e-07, 8.422e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.858
No. Observations: 1177 RMSE: 6.69
Df Residuals: 1175 MAE: 5.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6450 0.6865 0.001 11.1917 13.9499
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP15 · test_dup · combo DUP15 · reth
nobs 99
R² 0.7836
coef (ms) 5.121e-07
p-value 1.00e-03
95% CI [4.495e-07, 5.802e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.784
Model: NNLS Adj. R-squared: 0.781
No. Observations: 99 RMSE: 5.41
Df Residuals: 97 MAE: 3.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.6053 1.9206 0.001 4.8138 12.3923
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP16 · test_dup · combo DUP16 · besu
nobs 3773
R² 0.4699
coef (ms) 2.953e-06
p-value 1.00e-03
95% CI [2.854e-06, 3.053e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.470
Model: NNLS Adj. R-squared: 0.470
No. Observations: 3773 RMSE: 62.97
Df Residuals: 3771 MAE: 56.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.4769 3.0481 0.001 48.2652 60.6048
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP16 · test_dup · combo DUP16 · erigon
nobs 253
R² 0.5189
coef (ms) 1.746e-06
p-value 1.00e-03
95% CI [1.672e-06, 1.811e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.519
Model: NNLS Adj. R-squared: 0.517
No. Observations: 253 RMSE: 33.76
Df Residuals: 251 MAE: 10.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.0911 3.4088 0.001 21.2830 34.2365
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP16 · test_dup · combo DUP16 · ethrex
nobs 1606
R² 0.8143
coef (ms) 5.641e-07
p-value 1.00e-03
95% CI [5.501e-07, 5.788e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.814
Model: NNLS Adj. R-squared: 0.814
No. Observations: 1606 RMSE: 5.41
Df Residuals: 1604 MAE: 4.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6722 0.4661 0.001 11.7703 13.5744
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP16 · test_dup · combo DUP16 · geth
nobs 4224
R² 0.821
coef (ms) 1.918e-06
p-value 1.00e-03
95% CI [1.888e-06, 1.95e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.821
Model: NNLS Adj. R-squared: 0.821
No. Observations: 4224 RMSE: 17.98
Df Residuals: 4222 MAE: 14.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.8653 0.9974 0.001 27.8490 31.8193
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP16 · test_dup · combo DUP16 · nethermind
nobs 1177
R² 0.8529
coef (ms) 8.148e-07
p-value 1.00e-03
95% CI [7.938e-07, 8.368e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.853
No. Observations: 1177 RMSE: 6.79
Df Residuals: 1175 MAE: 5.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.8728 0.6933 0.001 11.4220 14.1727
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP16 · test_dup · combo DUP16 · reth
nobs 99
R² 0.7983
coef (ms) 5.147e-07
p-value 1.00e-03
95% CI [4.592e-07, 5.702e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.796
No. Observations: 99 RMSE: 5.19
Df Residuals: 97 MAE: 3.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.6396 1.5769 0.001 5.5813 11.8061
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP2 · test_dup · combo DUP2 · besu
nobs 3773
R² 0.5352
coef (ms) 3.805e-06
p-value 1.00e-03
95% CI [3.685e-06, 3.916e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.535
Model: NNLS Adj. R-squared: 0.535
No. Observations: 3773 RMSE: 71.87
Df Residuals: 3771 MAE: 65.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.3273 3.4034 0.001 30.0863 43.0941
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP2 · test_dup · combo DUP2 · erigon
nobs 253
R² 0.6012
coef (ms) 1.793e-06
p-value 1.00e-03
95% CI [1.667e-06, 1.988e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.601
Model: NNLS Adj. R-squared: 0.600
No. Observations: 253 RMSE: 29.59
Df Residuals: 251 MAE: 8.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.6034 3.9516 0.001 11.8041 26.9097
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP2 · test_dup · combo DUP2 · ethrex
nobs 1606
R² 0.8171
coef (ms) 6.093e-07
p-value 1.00e-03
95% CI [5.949e-07, 6.243e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.817
No. Observations: 1606 RMSE: 5.84
Df Residuals: 1604 MAE: 4.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.6026 0.4829 0.001 10.6740 12.5404
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP2 · test_dup · combo DUP2 · geth
nobs 4224
R² 0.8187
coef (ms) 1.884e-06
p-value 1.00e-03
95% CI [1.855e-06, 1.914e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.819
Model: NNLS Adj. R-squared: 0.819
No. Observations: 4224 RMSE: 17.96
Df Residuals: 4222 MAE: 14.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.9258 1.0078 0.001 27.8922 31.8971
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP2 · test_dup · combo DUP2 · nethermind
nobs 1177
R² 0.8547
coef (ms) 8.088e-07
p-value 1.00e-03
95% CI [7.88e-07, 8.286e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.855
Model: NNLS Adj. R-squared: 0.855
No. Observations: 1177 RMSE: 6.76
Df Residuals: 1175 MAE: 5.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.1023 0.6546 0.001 10.8055 13.3967
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP2 · test_dup · combo DUP2 · reth
nobs 99
R² 0.7479
coef (ms) 4.959e-07
p-value 1.00e-03
95% CI [4.371e-07, 5.636e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.748
Model: NNLS Adj. R-squared: 0.745
No. Observations: 99 RMSE: 5.83
Df Residuals: 97 MAE: 4.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.5839 1.8240 0.001 5.9375 12.9975
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP3 · test_dup · combo DUP3 · besu
nobs 3773
R² 0.4727
coef (ms) 2.815e-06
p-value 1.00e-03
95% CI [2.74e-06, 2.896e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.473
Model: NNLS Adj. R-squared: 0.473
No. Observations: 3773 RMSE: 60.21
Df Residuals: 3771 MAE: 54.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 86.1147 2.7740 0.001 80.6763 91.1912
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP3 · test_dup · combo DUP3 · erigon
nobs 253
R² 0.3723
coef (ms) 1.695e-06
p-value 1.00e-03
95% CI [1.49e-06, 1.873e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.372
Model: NNLS Adj. R-squared: 0.370
No. Observations: 253 RMSE: 44.57
Df Residuals: 251 MAE: 11.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.7068 7.2182 0.001 17.8052 45.4796
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP3 · test_dup · combo DUP3 · ethrex
nobs 1606
R² 0.8204
coef (ms) 6.039e-07
p-value 1.00e-03
95% CI [5.898e-07, 6.189e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.820
Model: NNLS Adj. R-squared: 0.820
No. Observations: 1606 RMSE: 5.72
Df Residuals: 1604 MAE: 4.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.7379 0.4730 0.001 9.8100 11.6481
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP3 · test_dup · combo DUP3 · geth
nobs 4224
R² 0.8327
coef (ms) 1.86e-06
p-value 1.00e-03
95% CI [1.832e-06, 1.887e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.833
No. Observations: 4224 RMSE: 16.88
Df Residuals: 4222 MAE: 13.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.8376 0.9321 0.001 27.1279 30.6043
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP3 · test_dup · combo DUP3 · nethermind
nobs 1177
R² 0.8477
coef (ms) 8.07e-07
p-value 1.00e-03
95% CI [7.842e-07, 8.287e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.848
No. Observations: 1177 RMSE: 6.93
Df Residuals: 1175 MAE: 5.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.4893 0.6925 0.001 11.1869 13.8596
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP3 · test_dup · combo DUP3 · reth
nobs 99
R² 0.8184
coef (ms) 4.898e-07
p-value 1.00e-03
95% CI [4.509e-07, 5.303e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.816
No. Observations: 99 RMSE: 4.67
Df Residuals: 97 MAE: 3.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.5069 1.3474 0.001 6.7775 12.1656
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP4 · test_dup · combo DUP4 · besu
nobs 3773
R² 0.4626
coef (ms) 2.797e-06
p-value 1.00e-03
95% CI [2.702e-06, 2.891e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.463
Model: NNLS Adj. R-squared: 0.462
No. Observations: 3773 RMSE: 61.01
Df Residuals: 3771 MAE: 54.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 65.5778 2.8317 0.001 60.0184 71.1185
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP4 · test_dup · combo DUP4 · erigon
nobs 253
R² 0.9357
coef (ms) 1.718e-06
p-value 1.00e-03
95% CI [1.656e-06, 1.782e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.936
Model: NNLS Adj. R-squared: 0.935
No. Observations: 253 RMSE: 9.11
Df Residuals: 251 MAE: 6.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.0774 1.8925 0.001 20.3341 28.0450
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP4 · test_dup · combo DUP4 · ethrex
nobs 1606
R² 0.8261
coef (ms) 6.105e-07
p-value 1.00e-03
95% CI [5.95e-07, 6.253e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 1606 RMSE: 5.67
Df Residuals: 1604 MAE: 4.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.9540 0.4803 0.001 10.0442 11.8792
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP4 · test_dup · combo DUP4 · geth
nobs 4224
R² 0.8237
coef (ms) 1.887e-06
p-value 1.00e-03
95% CI [1.858e-06, 1.918e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.824
Model: NNLS Adj. R-squared: 0.824
No. Observations: 4224 RMSE: 17.67
Df Residuals: 4222 MAE: 13.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.0923 1.0241 0.001 28.0180 32.0742
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP4 · test_dup · combo DUP4 · nethermind
nobs 1177
R² 0.6837
coef (ms) 8.3e-07
p-value 1.00e-03
95% CI [7.925e-07, 8.811e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.684
Model: NNLS Adj. R-squared: 0.683
No. Observations: 1177 RMSE: 11.42
Df Residuals: 1175 MAE: 5.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.7211 1.2510 0.001 8.9907 13.8456
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP4 · test_dup · combo DUP4 · reth
nobs 99
R² 0.8151
coef (ms) 4.908e-07
p-value 1.00e-03
95% CI [4.489e-07, 5.367e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.813
No. Observations: 99 RMSE: 4.73
Df Residuals: 97 MAE: 4.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.1814 1.3951 0.001 6.3514 11.7863
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP5 · test_dup · combo DUP5 · besu
nobs 3773
R² 0.4699
coef (ms) 2.907e-06
p-value 1.00e-03
95% CI [2.812e-06, 3.003e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.470
Model: NNLS Adj. R-squared: 0.470
No. Observations: 3773 RMSE: 62.46
Df Residuals: 3771 MAE: 56.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.1663 2.9359 0.001 50.5659 61.7041
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP5 · test_dup · combo DUP5 · erigon
nobs 253
R² 0.4932
coef (ms) 1.694e-06
p-value 1.00e-03
95% CI [1.595e-06, 1.807e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.493
Model: NNLS Adj. R-squared: 0.491
No. Observations: 253 RMSE: 34.73
Df Residuals: 251 MAE: 9.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.8811 2.8915 0.001 22.7483 33.8303
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP5 · test_dup · combo DUP5 · ethrex
nobs 1606
R² 0.8328
coef (ms) 5.907e-07
p-value 1.00e-03
95% CI [5.767e-07, 6.059e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.833
No. Observations: 1606 RMSE: 5.35
Df Residuals: 1604 MAE: 4.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.5895 0.4633 0.001 10.6507 12.4891
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP5 · test_dup · combo DUP5 · geth
nobs 4224
R² 0.8337
coef (ms) 1.863e-06
p-value 1.00e-03
95% CI [1.834e-06, 1.891e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 4224 RMSE: 16.82
Df Residuals: 4222 MAE: 13.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.7525 0.9847 0.001 27.8647 31.7259
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP5 · test_dup · combo DUP5 · nethermind
nobs 1177
R² 0.8648
coef (ms) 8.17e-07
p-value 1.00e-03
95% CI [7.958e-07, 8.39e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.865
No. Observations: 1177 RMSE: 6.53
Df Residuals: 1175 MAE: 5.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.3579 0.6776 0.001 10.9868 13.7055
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP5 · test_dup · combo DUP5 · reth
nobs 99
R² 0.8106
coef (ms) 5.023e-07
p-value 1.00e-03
95% CI [4.55e-07, 5.483e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.809
No. Observations: 99 RMSE: 4.91
Df Residuals: 97 MAE: 3.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2396 1.6093 0.001 6.0980 12.5238
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP6 · test_dup · combo DUP6 · besu
nobs 3773
R² 0.4714
coef (ms) 2.937e-06
p-value 1.00e-03
95% CI [2.842e-06, 3.035e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.471
Model: NNLS Adj. R-squared: 0.471
No. Observations: 3773 RMSE: 62.87
Df Residuals: 3771 MAE: 56.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.6426 3.0301 0.001 47.8351 59.5221
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP6 · test_dup · combo DUP6 · erigon
nobs 253
R² 0.9411
coef (ms) 1.728e-06
p-value 1.00e-03
95% CI [1.67e-06, 1.787e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.941
Model: NNLS Adj. R-squared: 0.941
No. Observations: 253 RMSE: 8.74
Df Residuals: 251 MAE: 7.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.2343 1.8431 0.001 19.6444 26.8668
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP6 · test_dup · combo DUP6 · ethrex
nobs 1606
R² 0.8196
coef (ms) 5.889e-07
p-value 1.00e-03
95% CI [5.742e-07, 6.026e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.820
Model: NNLS Adj. R-squared: 0.819
No. Observations: 1606 RMSE: 5.58
Df Residuals: 1604 MAE: 4.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.2165 0.4509 0.001 10.3660 12.0829
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP6 · test_dup · combo DUP6 · geth
nobs 4224
R² 0.8324
coef (ms) 1.89e-06
p-value 1.00e-03
95% CI [1.86e-06, 1.916e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 4224 RMSE: 17.14
Df Residuals: 4222 MAE: 13.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.6003 0.9718 0.001 28.7701 32.5743
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP6 · test_dup · combo DUP6 · nethermind
nobs 1177
R² 0.7592
coef (ms) 8.333e-07
p-value 1.00e-03
95% CI [8.052e-07, 8.679e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.759
Model: NNLS Adj. R-squared: 0.759
No. Observations: 1177 RMSE: 9.49
Df Residuals: 1175 MAE: 5.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.3388 0.8997 0.001 9.5001 12.9603
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP6 · test_dup · combo DUP6 · reth
nobs 99
R² 0.791
coef (ms) 4.598e-07
p-value 1.00e-03
95% CI [4.127e-07, 5.108e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.791
Model: NNLS Adj. R-squared: 0.789
No. Observations: 99 RMSE: 4.78
Df Residuals: 97 MAE: 3.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.4936 1.6413 0.001 7.2161 13.7698
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP7 · test_dup · combo DUP7 · besu
nobs 3773
R² 0.4691
coef (ms) 2.919e-06
p-value 1.00e-03
95% CI [2.816e-06, 3.017e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.469
Model: NNLS Adj. R-squared: 0.469
No. Observations: 3773 RMSE: 62.72
Df Residuals: 3771 MAE: 56.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.0741 3.0022 0.001 49.2415 61.2250
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP7 · test_dup · combo DUP7 · erigon
nobs 253
R² 0.59
coef (ms) 1.853e-06
p-value 1.00e-03
95% CI [1.689e-06, 2.121e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.590
Model: NNLS Adj. R-squared: 0.588
No. Observations: 253 RMSE: 31.21
Df Residuals: 251 MAE: 9.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.8398 5.5944 0.006 4.6607 26.2723
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP7 · test_dup · combo DUP7 · ethrex
nobs 1606
R² 0.8265
coef (ms) 6.157e-07
p-value 1.00e-03
95% CI [6.014e-07, 6.3e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.826
No. Observations: 1606 RMSE: 5.70
Df Residuals: 1604 MAE: 4.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.2237 0.4758 0.001 10.3336 12.1618
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP7 · test_dup · combo DUP7 · geth
nobs 4224
R² 0.8205
coef (ms) 1.855e-06
p-value 1.00e-03
95% CI [1.824e-06, 1.882e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.820
Model: NNLS Adj. R-squared: 0.820
No. Observations: 4224 RMSE: 17.53
Df Residuals: 4222 MAE: 13.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.9087 1.0043 0.001 27.9567 31.8790
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP7 · test_dup · combo DUP7 · nethermind
nobs 1177
R² 0.856
coef (ms) 7.965e-07
p-value 1.00e-03
95% CI [7.762e-07, 8.165e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.856
Model: NNLS Adj. R-squared: 0.856
No. Observations: 1177 RMSE: 6.60
Df Residuals: 1175 MAE: 5.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.5573 0.6796 0.001 12.2033 14.8903
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP7 · test_dup · combo DUP7 · reth
nobs 99
R² 0.8407
coef (ms) 5.238e-07
p-value 1.00e-03
95% CI [4.767e-07, 5.671e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.839
No. Observations: 99 RMSE: 4.61
Df Residuals: 97 MAE: 3.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.2762 1.4818 0.001 4.6990 10.3905
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP8 · test_dup · combo DUP8 · besu
nobs 3773
R² 0.4671
coef (ms) 2.912e-06
p-value 1.00e-03
95% CI [2.816e-06, 3.008e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.467
Model: NNLS Adj. R-squared: 0.467
No. Observations: 3773 RMSE: 62.79
Df Residuals: 3771 MAE: 56.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.9027 2.9799 0.001 49.9251 61.6916
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP8 · test_dup · combo DUP8 · erigon
nobs 253
R² 0.3364
coef (ms) 1.588e-06
p-value 1.00e-03
95% CI [1.308e-06, 1.762e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.336
Model: NNLS Adj. R-squared: 0.334
No. Observations: 253 RMSE: 45.02
Df Residuals: 251 MAE: 12.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.2664 10.3260 0.001 21.9613 61.3622
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP8 · test_dup · combo DUP8 · ethrex
nobs 1606
R² 0.8215
coef (ms) 6.051e-07
p-value 1.00e-03
95% CI [5.903e-07, 6.207e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.821
Model: NNLS Adj. R-squared: 0.821
No. Observations: 1606 RMSE: 5.69
Df Residuals: 1604 MAE: 4.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.5067 0.4930 0.001 10.5416 12.4887
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP8 · test_dup · combo DUP8 · geth
nobs 4224
R² 0.8218
coef (ms) 1.865e-06
p-value 1.00e-03
95% CI [1.838e-06, 1.896e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.822
Model: NNLS Adj. R-squared: 0.822
No. Observations: 4224 RMSE: 17.53
Df Residuals: 4222 MAE: 13.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.5664 0.9841 0.001 29.5923 33.5052
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP8 · test_dup · combo DUP8 · nethermind
nobs 1177
R² 0.8505
coef (ms) 8.224e-07
p-value 1.00e-03
95% CI [8.002e-07, 8.45e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.850
Model: NNLS Adj. R-squared: 0.850
No. Observations: 1177 RMSE: 6.96
Df Residuals: 1175 MAE: 5.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.1177 0.7293 0.001 10.6355 13.5789
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP8 · test_dup · combo DUP8 · reth
nobs 99
R² 0.7953
coef (ms) 4.707e-07
p-value 1.00e-03
95% CI [4.248e-07, 5.179e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.795
Model: NNLS Adj. R-squared: 0.793
No. Observations: 99 RMSE: 4.82
Df Residuals: 97 MAE: 3.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.8988 1.5645 0.001 7.7810 13.9507
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP9 · test_dup · combo DUP9 · besu
nobs 3773
R² 0.4676
coef (ms) 2.911e-06
p-value 1.00e-03
95% CI [2.81e-06, 3.011e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.468
Model: NNLS Adj. R-squared: 0.467
No. Observations: 3773 RMSE: 62.65
Df Residuals: 3771 MAE: 56.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.5876 3.1285 0.001 49.3923 61.5997
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP9 · test_dup · combo DUP9 · erigon
nobs 253
R² 0.4773
coef (ms) 1.617e-06
p-value 1.00e-03
95% CI [1.381e-06, 1.761e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.477
Model: NNLS Adj. R-squared: 0.475
No. Observations: 253 RMSE: 34.13
Df Residuals: 251 MAE: 9.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.9079 8.5547 0.001 22.7105 53.8254
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP9 · test_dup · combo DUP9 · ethrex
nobs 1606
R² 0.8263
coef (ms) 6.15e-07
p-value 1.00e-03
95% CI [6.008e-07, 6.308e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 1606 RMSE: 5.69
Df Residuals: 1604 MAE: 4.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.7299 0.4909 0.001 9.7478 11.6276
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP9 · test_dup · combo DUP9 · geth
nobs 4224
R² 0.8176
coef (ms) 1.843e-06
p-value 1.00e-03
95% CI [1.814e-06, 1.873e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.818
No. Observations: 4224 RMSE: 17.56
Df Residuals: 4222 MAE: 13.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.0995 0.9902 0.001 29.2126 32.9687
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP9 · test_dup · combo DUP9 · nethermind
nobs 1177
R² 0.8336
coef (ms) 8.228e-07
p-value 1.00e-03
95% CI [8.008e-07, 8.436e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.833
No. Observations: 1177 RMSE: 7.42
Df Residuals: 1175 MAE: 5.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6848 0.6778 0.001 11.3308 14.0610
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DUP9 · test_dup · combo DUP9 · reth
nobs 99
R² 0.7534
coef (ms) 5.32e-07
p-value 1.00e-03
95% CI [4.714e-07, 5.927e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.753
Model: NNLS Adj. R-squared: 0.751
No. Observations: 99 RMSE: 6.14
Df Residuals: 97 MAE: 4.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.3137 1.8659 0.001 4.5662 11.9643
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP1 · test_swap · combo SWAP1 · besu
nobs 3773
R² 0.4839
coef (ms) 3.047e-06
p-value 1.00e-03
95% CI [2.947e-06, 3.148e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.484
Model: NNLS Adj. R-squared: 0.484
No. Observations: 3773 RMSE: 66.24
Df Residuals: 3771 MAE: 59.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.4912 3.2567 0.001 52.8550 66.1071
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP1 · test_swap · combo SWAP1 · erigon
nobs 253
R² 0.2514
coef (ms) 1.085e-06
p-value 1.00e-03
95% CI [7.423e-07, 1.316e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.251
Model: NNLS Adj. R-squared: 0.248
No. Observations: 253 RMSE: 39.42
Df Residuals: 251 MAE: 9.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.0247 12.6090 0.001 21.1541 68.0382
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP1 · test_swap · combo SWAP1 · ethrex
nobs 1606
R² 0.8077
coef (ms) 6.947e-07
p-value 1.00e-03
95% CI [6.759e-07, 7.122e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.808
No. Observations: 1606 RMSE: 7.14
Df Residuals: 1604 MAE: 5.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.4500 0.6208 0.001 15.2921 17.6856
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP1 · test_swap · combo SWAP1 · geth
nobs 4224
R² 0.7544
coef (ms) 1.542e-06
p-value 1.00e-03
95% CI [1.514e-06, 1.57e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.754
Model: NNLS Adj. R-squared: 0.754
No. Observations: 4224 RMSE: 18.53
Df Residuals: 4222 MAE: 13.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.5454 1.0016 0.001 31.5752 35.4983
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP1 · test_swap · combo SWAP1 · nethermind
nobs 1177
R² 0.7426
coef (ms) 5.625e-07
p-value 1.00e-03
95% CI [5.339e-07, 5.828e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.743
Model: NNLS Adj. R-squared: 0.742
No. Observations: 1177 RMSE: 6.97
Df Residuals: 1175 MAE: 4.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6348 0.9474 0.001 11.1739 14.9188
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP1 · test_swap · combo SWAP1 · reth
nobs 110
R² 0.7825
coef (ms) 4.808e-07
p-value 1.00e-03
95% CI [4.274e-07, 5.405e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.783
Model: NNLS Adj. R-squared: 0.781
No. Observations: 110 RMSE: 5.34
Df Residuals: 108 MAE: 4.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.8068 1.7853 0.001 7.1976 14.0167
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP10 · test_swap · combo SWAP10 · besu
nobs 3773
R² 0.4805
coef (ms) 3.048e-06
p-value 1.00e-03
95% CI [2.95e-06, 3.149e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.481
Model: NNLS Adj. R-squared: 0.480
No. Observations: 3773 RMSE: 66.72
Df Residuals: 3771 MAE: 59.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.2405 3.2615 0.001 53.1817 65.4586
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP10 · test_swap · combo SWAP10 · erigon
nobs 253
R² 0.5693
coef (ms) 1.31e-06
p-value 1.00e-03
95% CI [1.253e-06, 1.381e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.569
Model: NNLS Adj. R-squared: 0.568
No. Observations: 253 RMSE: 23.99
Df Residuals: 251 MAE: 7.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.8845 1.6838 0.001 21.7488 28.1903
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP10 · test_swap · combo SWAP10 · ethrex
nobs 1606
R² 0.7576
coef (ms) 7.022e-07
p-value 1.00e-03
95% CI [6.805e-07, 7.236e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.758
Model: NNLS Adj. R-squared: 0.757
No. Observations: 1606 RMSE: 8.36
Df Residuals: 1604 MAE: 5.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.0775 0.7227 0.001 14.6822 17.4929
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP10 · test_swap · combo SWAP10 · geth
nobs 4224
R² 0.7295
coef (ms) 1.58e-06
p-value 1.00e-03
95% CI [1.551e-06, 1.611e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.729
Model: NNLS Adj. R-squared: 0.729
No. Observations: 4224 RMSE: 20.26
Df Residuals: 4222 MAE: 13.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.9641 1.1255 0.001 30.7333 35.0944
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP10 · test_swap · combo SWAP10 · nethermind
nobs 1177
R² 0.5357
coef (ms) 5.29e-07
p-value 1.00e-03
95% CI [5.114e-07, 5.479e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.536
Model: NNLS Adj. R-squared: 0.535
No. Observations: 1177 RMSE: 10.37
Df Residuals: 1175 MAE: 4.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.2802 0.5779 0.001 15.1163 17.3451
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP10 · test_swap · combo SWAP10 · reth
nobs 110
R² 0.8224
coef (ms) 4.866e-07
p-value 1.00e-03
95% CI [4.464e-07, 5.306e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.822
Model: NNLS Adj. R-squared: 0.821
No. Observations: 110 RMSE: 4.76
Df Residuals: 108 MAE: 3.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.5094 1.3051 0.001 7.9441 13.0165
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP11 · test_swap · combo SWAP11 · besu
nobs 3773
R² 0.4769
coef (ms) 3.014e-06
p-value 1.00e-03
95% CI [2.921e-06, 3.116e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.477
Model: NNLS Adj. R-squared: 0.477
No. Observations: 3773 RMSE: 66.46
Df Residuals: 3771 MAE: 59.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 61.8387 3.2075 0.001 55.6378 67.8792
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP11 · test_swap · combo SWAP11 · erigon
nobs 253
R² 0.3851
coef (ms) 1.373e-06
p-value 1.00e-03
95% CI [1.152e-06, 1.692e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.385
Model: NNLS Adj. R-squared: 0.383
No. Observations: 253 RMSE: 36.53
Df Residuals: 251 MAE: 8.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.7958 8.2939 0.018 1.3216 35.9197
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP11 · test_swap · combo SWAP11 · ethrex
nobs 1606
R² 0.8102
coef (ms) 7.12e-07
p-value 1.00e-03
95% CI [6.937e-07, 7.319e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.810
No. Observations: 1606 RMSE: 7.26
Df Residuals: 1604 MAE: 5.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.2949 0.6454 0.001 13.9725 16.5323
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP11 · test_swap · combo SWAP11 · geth
nobs 4224
R² 0.7622
coef (ms) 1.574e-06
p-value 1.00e-03
95% CI [1.546e-06, 1.602e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.762
Model: NNLS Adj. R-squared: 0.762
No. Observations: 4224 RMSE: 18.51
Df Residuals: 4222 MAE: 13.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.3022 0.9895 0.001 31.4903 35.2229
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP11 · test_swap · combo SWAP11 · nethermind
nobs 1177
R² 0.4666
coef (ms) 5.138e-07
p-value 1.00e-03
95% CI [4.856e-07, 5.422e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.467
Model: NNLS Adj. R-squared: 0.466
No. Observations: 1177 RMSE: 11.57
Df Residuals: 1175 MAE: 4.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.9702 1.0084 0.001 15.0412 19.0139
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP11 · test_swap · combo SWAP11 · reth
nobs 110
R² 0.8011
coef (ms) 4.666e-07
p-value 1.00e-03
95% CI [4.225e-07, 5.118e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.801
Model: NNLS Adj. R-squared: 0.799
No. Observations: 110 RMSE: 4.89
Df Residuals: 108 MAE: 3.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.3589 1.4768 0.001 9.3555 15.1443
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP12 · test_swap · combo SWAP12 · besu
nobs 3773
R² 0.4833
coef (ms) 3.047e-06
p-value 1.00e-03
95% CI [2.946e-06, 3.147e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.483
Model: NNLS Adj. R-squared: 0.483
No. Observations: 3773 RMSE: 66.33
Df Residuals: 3771 MAE: 59.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.3508 3.1388 0.001 53.2343 65.7318
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP12 · test_swap · combo SWAP12 · erigon
nobs 253
R² 0.4601
coef (ms) 1.528e-06
p-value 1.00e-03
95% CI [1.277e-06, 1.772e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.460
Model: NNLS Adj. R-squared: 0.458
No. Observations: 253 RMSE: 34.85
Df Residuals: 251 MAE: 10.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1079 7.4808 0.102 0.0000 24.8420
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP12 · test_swap · combo SWAP12 · ethrex
nobs 1606
R² 0.7762
coef (ms) 7.06e-07
p-value 1.00e-03
95% CI [6.875e-07, 7.243e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.776
Model: NNLS Adj. R-squared: 0.776
No. Observations: 1606 RMSE: 7.98
Df Residuals: 1604 MAE: 5.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.0945 0.6130 0.001 14.8920 17.3411
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP12 · test_swap · combo SWAP12 · geth
nobs 4224
R² 0.7664
coef (ms) 1.533e-06
p-value 1.00e-03
95% CI [1.507e-06, 1.559e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.766
Model: NNLS Adj. R-squared: 0.766
No. Observations: 4224 RMSE: 17.82
Df Residuals: 4222 MAE: 13.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.7793 0.9595 0.001 29.9753 33.6409
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP12 · test_swap · combo SWAP12 · nethermind
nobs 1177
R² 0.5558
coef (ms) 5.324e-07
p-value 1.00e-03
95% CI [5.081e-07, 5.569e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.556
Model: NNLS Adj. R-squared: 0.555
No. Observations: 1177 RMSE: 10.02
Df Residuals: 1175 MAE: 4.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.8516 0.7445 0.001 14.4324 17.2504
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP12 · test_swap · combo SWAP12 · reth
nobs 110
R² 0.8102
coef (ms) 4.608e-07
p-value 1.00e-03
95% CI [4.184e-07, 5.078e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.808
No. Observations: 110 RMSE: 4.70
Df Residuals: 108 MAE: 3.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.7883 1.3843 0.001 8.9663 14.3795
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP13 · test_swap · combo SWAP13 · besu
nobs 3773
R² 0.4814
coef (ms) 3.052e-06
p-value 1.00e-03
95% CI [2.957e-06, 3.157e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.481
Model: NNLS Adj. R-squared: 0.481
No. Observations: 3773 RMSE: 66.69
Df Residuals: 3771 MAE: 59.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.1206 3.2270 0.001 52.4779 65.1116
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP13 · test_swap · combo SWAP13 · erigon
nobs 253
R² 0.9326
coef (ms) 1.284e-06
p-value 1.00e-03
95% CI [1.236e-06, 1.324e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.932
No. Observations: 253 RMSE: 7.27
Df Residuals: 251 MAE: 5.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.6226 1.5706 0.001 20.8508 27.0218
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP13 · test_swap · combo SWAP13 · ethrex
nobs 1606
R² 0.7623
coef (ms) 6.9e-07
p-value 1.00e-03
95% CI [6.65e-07, 7.116e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.762
Model: NNLS Adj. R-squared: 0.762
No. Observations: 1606 RMSE: 8.11
Df Residuals: 1604 MAE: 5.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.9986 0.8480 0.001 15.5261 18.8389
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP13 · test_swap · combo SWAP13 · geth
nobs 4224
R² 0.7271
coef (ms) 1.544e-06
p-value 1.00e-03
95% CI [1.51e-06, 1.575e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.727
Model: NNLS Adj. R-squared: 0.727
No. Observations: 4224 RMSE: 19.92
Df Residuals: 4222 MAE: 14.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.7412 1.1685 0.001 29.6048 34.1953
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP13 · test_swap · combo SWAP13 · nethermind
nobs 1177
R² 0.5685
coef (ms) 5.218e-07
p-value 1.00e-03
95% CI [4.972e-07, 5.526e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.568
Model: NNLS Adj. R-squared: 0.568
No. Observations: 1177 RMSE: 9.57
Df Residuals: 1175 MAE: 4.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.1082 0.7796 0.001 14.4480 17.5111
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP13 · test_swap · combo SWAP13 · reth
nobs 110
R² 0.7897
coef (ms) 4.546e-07
p-value 1.00e-03
95% CI [4.08e-07, 5.011e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.790
Model: NNLS Adj. R-squared: 0.788
No. Observations: 110 RMSE: 4.94
Df Residuals: 108 MAE: 3.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.1894 1.5914 0.001 8.9537 15.2448
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP14 · test_swap · combo SWAP14 · besu
nobs 3773
R² 0.4724
coef (ms) 3.061e-06
p-value 1.00e-03
95% CI [2.957e-06, 3.161e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.472
Model: NNLS Adj. R-squared: 0.472
No. Observations: 3773 RMSE: 68.10
Df Residuals: 3771 MAE: 59.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.5788 3.2224 0.001 53.3163 66.0250
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP14 · test_swap · combo SWAP14 · erigon
nobs 253
R² 0.5848
coef (ms) 1.427e-06
p-value 1.00e-03
95% CI [1.293e-06, 1.621e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.585
Model: NNLS Adj. R-squared: 0.583
No. Observations: 253 RMSE: 25.31
Df Residuals: 251 MAE: 8.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.6273 4.7285 0.001 7.5910 24.8668
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP14 · test_swap · combo SWAP14 · ethrex
nobs 1606
R² 0.8143
coef (ms) 7.054e-07
p-value 1.00e-03
95% CI [6.871e-07, 7.231e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.814
Model: NNLS Adj. R-squared: 0.814
No. Observations: 1606 RMSE: 7.09
Df Residuals: 1604 MAE: 5.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.6474 0.6210 0.001 14.4863 16.9090
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP14 · test_swap · combo SWAP14 · geth
nobs 4224
R² 0.7334
coef (ms) 1.54e-06
p-value 1.00e-03
95% CI [1.512e-06, 1.57e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.733
Model: NNLS Adj. R-squared: 0.733
No. Observations: 4224 RMSE: 19.54
Df Residuals: 4222 MAE: 13.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.0019 0.9758 0.001 30.0500 33.7648
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP14 · test_swap · combo SWAP14 · nethermind
nobs 1177
R² 0.4875
coef (ms) 4.785e-07
p-value 1.00e-03
95% CI [4.42e-07, 5.056e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.487
Model: NNLS Adj. R-squared: 0.487
No. Observations: 1177 RMSE: 10.33
Df Residuals: 1175 MAE: 4.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.4351 1.2380 0.001 17.3646 22.4923
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP14 · test_swap · combo SWAP14 · reth
nobs 110
R² 0.7667
coef (ms) 4.911e-07
p-value 1.00e-03
95% CI [4.393e-07, 5.458e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.767
Model: NNLS Adj. R-squared: 0.765
No. Observations: 110 RMSE: 5.70
Df Residuals: 108 MAE: 4.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.3702 1.8551 0.001 6.6626 13.9691
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP15 · test_swap · combo SWAP15 · besu
nobs 3773
R² 0.4771
coef (ms) 3.068e-06
p-value 1.00e-03
95% CI [2.968e-06, 3.176e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.477
Model: NNLS Adj. R-squared: 0.477
No. Observations: 3773 RMSE: 67.61
Df Residuals: 3771 MAE: 59.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 58.7804 3.2353 0.001 52.2457 64.9697
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP15 · test_swap · combo SWAP15 · erigon
nobs 253
R² 0.3967
coef (ms) 1.167e-06
p-value 1.00e-03
95% CI [8.336e-07, 1.343e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.397
Model: NNLS Adj. R-squared: 0.394
No. Observations: 253 RMSE: 30.29
Df Residuals: 251 MAE: 8.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.2496 11.6044 0.001 19.7762 59.2822
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP15 · test_swap · combo SWAP15 · ethrex
nobs 1606
R² 0.8147
coef (ms) 7.094e-07
p-value 1.00e-03
95% CI [6.924e-07, 7.263e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.815
No. Observations: 1606 RMSE: 7.12
Df Residuals: 1604 MAE: 5.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.2639 0.5845 0.001 14.1430 16.3791
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP15 · test_swap · combo SWAP15 · geth
nobs 4224
R² 0.7349
coef (ms) 1.532e-06
p-value 1.00e-03
95% CI [1.501e-06, 1.563e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.735
Model: NNLS Adj. R-squared: 0.735
No. Observations: 4224 RMSE: 19.38
Df Residuals: 4222 MAE: 13.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.5514 1.0716 0.001 30.4305 34.6826
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP15 · test_swap · combo SWAP15 · nethermind
nobs 1177
R² 0.718
coef (ms) 5.02e-07
p-value 1.00e-03
95% CI [4.855e-07, 5.179e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.718
Model: NNLS Adj. R-squared: 0.718
No. Observations: 1177 RMSE: 6.62
Df Residuals: 1175 MAE: 4.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.0324 0.5342 0.001 15.9663 18.0652
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP15 · test_swap · combo SWAP15 · reth
nobs 110
R² 0.7904
coef (ms) 4.781e-07
p-value 1.00e-03
95% CI [4.294e-07, 5.239e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.790
Model: NNLS Adj. R-squared: 0.788
No. Observations: 110 RMSE: 5.18
Df Residuals: 108 MAE: 4.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1687 1.7348 0.001 7.7668 14.5520
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP16 · test_swap · combo SWAP16 · besu
nobs 3773
R² 0.4795
coef (ms) 3.046e-06
p-value 1.00e-03
95% CI [2.95e-06, 3.145e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.479
Model: NNLS Adj. R-squared: 0.479
No. Observations: 3773 RMSE: 66.80
Df Residuals: 3771 MAE: 59.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.6634 3.1856 0.001 53.5084 65.7831
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP16 · test_swap · combo SWAP16 · erigon
nobs 253
R² 0.1173
coef (ms) 9.334e-07
p-value 1.00e-03
95% CI [5.067e-07, 1.262e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.117
Model: NNLS Adj. R-squared: 0.114
No. Observations: 253 RMSE: 53.91
Df Residuals: 251 MAE: 16.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.5416 16.4252 0.001 27.3931 90.6243
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP16 · test_swap · combo SWAP16 · ethrex
nobs 1606
R² 0.8209
coef (ms) 7.061e-07
p-value 1.00e-03
95% CI [6.884e-07, 7.24e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.821
Model: NNLS Adj. R-squared: 0.821
No. Observations: 1606 RMSE: 6.94
Df Residuals: 1604 MAE: 5.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.9116 0.5990 0.001 14.7080 17.0925
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP16 · test_swap · combo SWAP16 · geth
nobs 4224
R² 0.7264
coef (ms) 1.54e-06
p-value 1.00e-03
95% CI [1.511e-06, 1.571e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.726
Model: NNLS Adj. R-squared: 0.726
No. Observations: 4224 RMSE: 19.90
Df Residuals: 4222 MAE: 13.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.4798 1.0533 0.001 29.4496 33.4572
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP16 · test_swap · combo SWAP16 · nethermind
nobs 1177
R² 0.4439
coef (ms) 5.272e-07
p-value 1.00e-03
95% CI [4.981e-07, 5.665e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.444
Model: NNLS Adj. R-squared: 0.443
No. Observations: 1177 RMSE: 12.42
Df Residuals: 1175 MAE: 4.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.7319 0.8562 0.001 13.7732 17.2930
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP16 · test_swap · combo SWAP16 · reth
nobs 110
R² 0.7794
coef (ms) 4.747e-07
p-value 1.00e-03
95% CI [4.316e-07, 5.213e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.779
Model: NNLS Adj. R-squared: 0.777
No. Observations: 110 RMSE: 5.32
Df Residuals: 108 MAE: 4.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1104 1.4051 0.001 8.3739 13.7068
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP2 · test_swap · combo SWAP2 · besu
nobs 3773
R² 0.4785
coef (ms) 3.068e-06
p-value 1.00e-03
95% CI [2.967e-06, 3.168e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.479
Model: NNLS Adj. R-squared: 0.478
No. Observations: 3773 RMSE: 67.42
Df Residuals: 3771 MAE: 60.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.8410 3.2700 0.001 57.7972 70.3527
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP2 · test_swap · combo SWAP2 · erigon
nobs 253
R² 0.9519
coef (ms) 1.272e-06
p-value 1.00e-03
95% CI [1.235e-06, 1.307e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.952
No. Observations: 253 RMSE: 6.02
Df Residuals: 251 MAE: 4.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.2605 1.3435 0.001 22.6858 27.9844
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP2 · test_swap · combo SWAP2 · ethrex
nobs 1606
R² 0.8018
coef (ms) 6.952e-07
p-value 1.00e-03
95% CI [6.762e-07, 7.137e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.802
Model: NNLS Adj. R-squared: 0.802
No. Observations: 1606 RMSE: 7.28
Df Residuals: 1604 MAE: 5.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.2734 0.6261 0.001 15.0431 17.4801
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP2 · test_swap · combo SWAP2 · geth
nobs 4224
R² 0.6545
coef (ms) 1.547e-06
p-value 1.00e-03
95% CI [1.51e-06, 1.581e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.654
Model: NNLS Adj. R-squared: 0.654
No. Observations: 4224 RMSE: 23.67
Df Residuals: 4222 MAE: 15.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.7576 1.2778 0.001 31.4583 36.3658
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP2 · test_swap · combo SWAP2 · nethermind
nobs 1177
R² 0.6136
coef (ms) 5.702e-07
p-value 1.00e-03
95% CI [5.45e-07, 5.966e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.614
Model: NNLS Adj. R-squared: 0.613
No. Observations: 1177 RMSE: 9.53
Df Residuals: 1175 MAE: 4.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.8919 0.7725 0.001 9.2911 12.3429
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP2 · test_swap · combo SWAP2 · reth
nobs 110
R² 0.7913
coef (ms) 5.081e-07
p-value 1.00e-03
95% CI [4.499e-07, 5.672e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.791
Model: NNLS Adj. R-squared: 0.789
No. Observations: 110 RMSE: 5.49
Df Residuals: 108 MAE: 4.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.3911 1.8174 0.001 5.7173 13.2350
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP3 · test_swap · combo SWAP3 · besu
nobs 3773
R² 0.4839
coef (ms) 3.049e-06
p-value 1.00e-03
95% CI [2.949e-06, 3.153e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.484
Model: NNLS Adj. R-squared: 0.484
No. Observations: 3773 RMSE: 66.30
Df Residuals: 3771 MAE: 59.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.3491 3.1604 0.001 52.8306 65.1902
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP3 · test_swap · combo SWAP3 · erigon
nobs 253
R² 0.5323
coef (ms) 1.227e-06
p-value 1.00e-03
95% CI [1.108e-06, 1.296e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.532
Model: NNLS Adj. R-squared: 0.530
No. Observations: 253 RMSE: 24.22
Df Residuals: 251 MAE: 7.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.2228 4.6550 0.001 22.0868 39.6449
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP3 · test_swap · combo SWAP3 · ethrex
nobs 1606
R² 0.8145
coef (ms) 7.082e-07
p-value 1.00e-03
95% CI [6.89e-07, 7.263e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.814
Model: NNLS Adj. R-squared: 0.814
No. Observations: 1606 RMSE: 7.12
Df Residuals: 1604 MAE: 5.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.7735 0.6163 0.001 14.6270 17.0475
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP3 · test_swap · combo SWAP3 · geth
nobs 4224
R² 0.6647
coef (ms) 1.549e-06
p-value 1.00e-03
95% CI [1.513e-06, 1.587e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.665
Model: NNLS Adj. R-squared: 0.665
No. Observations: 4224 RMSE: 23.17
Df Residuals: 4222 MAE: 15.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.0150 1.3248 0.001 32.4382 37.6486
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP3 · test_swap · combo SWAP3 · nethermind
nobs 1177
R² 0.4755
coef (ms) 5.777e-07
p-value 1.00e-03
95% CI [5.424e-07, 6.318e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.475
Model: NNLS Adj. R-squared: 0.475
No. Observations: 1177 RMSE: 12.77
Df Residuals: 1175 MAE: 4.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.8468 1.3157 0.001 7.8527 12.8446
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP3 · test_swap · combo SWAP3 · reth
nobs 110
R² 0.7748
coef (ms) 4.601e-07
p-value 1.00e-03
95% CI [4.071e-07, 5.108e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.775
Model: NNLS Adj. R-squared: 0.773
No. Observations: 110 RMSE: 5.22
Df Residuals: 108 MAE: 4.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.6883 1.6910 0.001 8.3610 15.2253
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP4 · test_swap · combo SWAP4 · besu
nobs 3773
R² 0.494
coef (ms) 3.169e-06
p-value 1.00e-03
95% CI [3.062e-06, 3.279e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.494
Model: NNLS Adj. R-squared: 0.494
No. Observations: 3773 RMSE: 67.52
Df Residuals: 3771 MAE: 59.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.4844 3.4262 0.001 45.6660 59.0882
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP4 · test_swap · combo SWAP4 · erigon
nobs 253
R² 0.652
coef (ms) 1.366e-06
p-value 1.00e-03
95% CI [1.239e-06, 1.583e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.652
Model: NNLS Adj. R-squared: 0.651
No. Observations: 253 RMSE: 21.01
Df Residuals: 251 MAE: 6.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.3211 5.1590 0.001 8.5044 27.5352
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP4 · test_swap · combo SWAP4 · ethrex
nobs 1606
R² 0.8102
coef (ms) 7.276e-07
p-value 1.00e-03
95% CI [7.099e-07, 7.461e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.810
No. Observations: 1606 RMSE: 7.41
Df Residuals: 1604 MAE: 5.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.6924 0.6325 0.001 13.4912 15.8549
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP4 · test_swap · combo SWAP4 · geth
nobs 4224
R² 0.6595
coef (ms) 1.583e-06
p-value 1.00e-03
95% CI [1.55e-06, 1.62e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.660
Model: NNLS Adj. R-squared: 0.659
No. Observations: 4224 RMSE: 23.95
Df Residuals: 4222 MAE: 15.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.3370 1.2577 0.001 31.8968 36.6598
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP4 · test_swap · combo SWAP4 · nethermind
nobs 1177
R² 0.4516
coef (ms) 5.115e-07
p-value 1.00e-03
95% CI [4.877e-07, 5.41e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.452
Model: NNLS Adj. R-squared: 0.451
No. Observations: 1177 RMSE: 11.87
Df Residuals: 1175 MAE: 4.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.9188 0.8286 0.001 15.1147 18.3629
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP4 · test_swap · combo SWAP4 · reth
nobs 110
R² 0.7965
coef (ms) 4.407e-07
p-value 1.00e-03
95% CI [3.984e-07, 4.88e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.795
No. Observations: 110 RMSE: 4.69
Df Residuals: 108 MAE: 3.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.8221 1.5076 0.001 9.8673 15.6733
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP5 · test_swap · combo SWAP5 · besu
nobs 3773
R² 0.4325
coef (ms) 2.875e-06
p-value 1.00e-03
95% CI [2.768e-06, 2.983e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.433
Model: NNLS Adj. R-squared: 0.432
No. Observations: 3773 RMSE: 69.34
Df Residuals: 3771 MAE: 60.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.8610 3.4408 0.001 83.3326 96.7481
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP5 · test_swap · combo SWAP5 · erigon
nobs 253
R² 0.6475
coef (ms) 1.231e-06
p-value 1.00e-03
95% CI [1.095e-06, 1.309e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.647
Model: NNLS Adj. R-squared: 0.646
No. Observations: 253 RMSE: 19.13
Df Residuals: 251 MAE: 6.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.5163 4.8078 0.001 21.2789 38.9647
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP5 · test_swap · combo SWAP5 · ethrex
nobs 1606
R² 0.8009
coef (ms) 7.082e-07
p-value 1.00e-03
95% CI [6.888e-07, 7.28e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.801
Model: NNLS Adj. R-squared: 0.801
No. Observations: 1606 RMSE: 7.43
Df Residuals: 1604 MAE: 5.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.7858 0.6347 0.001 14.5390 17.0374
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP5 · test_swap · combo SWAP5 · geth
nobs 4224
R² 0.6256
coef (ms) 1.599e-06
p-value 1.00e-03
95% CI [1.56e-06, 1.64e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.626
Model: NNLS Adj. R-squared: 0.625
No. Observations: 4224 RMSE: 26.04
Df Residuals: 4222 MAE: 17.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.7373 1.3939 0.001 30.8925 36.3545
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP5 · test_swap · combo SWAP5 · nethermind
nobs 1177
R² 0.6839
coef (ms) 5.126e-07
p-value 1.00e-03
95% CI [4.923e-07, 5.36e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.684
Model: NNLS Adj. R-squared: 0.684
No. Observations: 1177 RMSE: 7.34
Df Residuals: 1175 MAE: 4.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.0930 0.6812 0.001 14.6453 17.3781
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP5 · test_swap · combo SWAP5 · reth
nobs 110
R² 0.8283
coef (ms) 5.229e-07
p-value 1.00e-03
95% CI [4.729e-07, 5.723e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.828
Model: NNLS Adj. R-squared: 0.827
No. Observations: 110 RMSE: 5.01
Df Residuals: 108 MAE: 3.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.0914 1.6402 0.001 4.8471 11.3479
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP6 · test_swap · combo SWAP6 · besu
nobs 3773
R² 0.4882
coef (ms) 3.036e-06
p-value 1.00e-03
95% CI [2.942e-06, 3.132e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.488
Model: NNLS Adj. R-squared: 0.488
No. Observations: 3773 RMSE: 65.46
Df Residuals: 3771 MAE: 58.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.8525 3.1102 0.001 57.5331 69.8966
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP6 · test_swap · combo SWAP6 · erigon
nobs 253
R² 0.6086
coef (ms) 1.276e-06
p-value 1.00e-03
95% CI [1.211e-06, 1.323e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.609
Model: NNLS Adj. R-squared: 0.607
No. Observations: 253 RMSE: 21.54
Df Residuals: 251 MAE: 6.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.4101 3.0982 0.001 21.9353 33.3438
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP6 · test_swap · combo SWAP6 · ethrex
nobs 1606
R² 0.817
coef (ms) 7.016e-07
p-value 1.00e-03
95% CI [6.841e-07, 7.196e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.817
No. Observations: 1606 RMSE: 6.99
Df Residuals: 1604 MAE: 5.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.0919 0.6006 0.001 14.8676 17.2173
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP6 · test_swap · combo SWAP6 · geth
nobs 4224
R² 0.7352
coef (ms) 1.535e-06
p-value 1.00e-03
95% CI [1.504e-06, 1.564e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.735
Model: NNLS Adj. R-squared: 0.735
No. Observations: 4224 RMSE: 19.39
Df Residuals: 4222 MAE: 13.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.2659 1.0789 0.001 30.2211 34.4143
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP6 · test_swap · combo SWAP6 · nethermind
nobs 1177
R² 0.5514
coef (ms) 4.887e-07
p-value 1.00e-03
95% CI [4.612e-07, 5.121e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.551
Model: NNLS Adj. R-squared: 0.551
No. Observations: 1177 RMSE: 9.28
Df Residuals: 1175 MAE: 4.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.8817 1.0270 0.001 16.0821 20.1054
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP6 · test_swap · combo SWAP6 · reth
nobs 110
R² 0.7396
coef (ms) 4.773e-07
p-value 1.00e-03
95% CI [4.291e-07, 5.281e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.740
Model: NNLS Adj. R-squared: 0.737
No. Observations: 110 RMSE: 5.96
Df Residuals: 108 MAE: 4.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.6015 1.5146 0.001 8.6235 14.7743
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP7 · test_swap · combo SWAP7 · besu
nobs 3773
R² 0.4797
coef (ms) 3.036e-06
p-value 1.00e-03
95% CI [2.932e-06, 3.135e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.480
Model: NNLS Adj. R-squared: 0.480
No. Observations: 3773 RMSE: 66.56
Df Residuals: 3771 MAE: 59.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.1164 3.3008 0.001 53.4791 66.9984
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP7 · test_swap · combo SWAP7 · erigon
nobs 253
R² 0.4229
coef (ms) 1.246e-06
p-value 1.00e-03
95% CI [1.138e-06, 1.314e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.423
Model: NNLS Adj. R-squared: 0.421
No. Observations: 253 RMSE: 30.65
Df Residuals: 251 MAE: 7.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.6346 4.6324 0.001 22.0502 39.3470
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP7 · test_swap · combo SWAP7 · ethrex
nobs 1606
R² 0.8089
coef (ms) 6.974e-07
p-value 1.00e-03
95% CI [6.797e-07, 7.155e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.809
No. Observations: 1606 RMSE: 7.14
Df Residuals: 1604 MAE: 5.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.2354 0.6116 0.001 15.0251 17.4511
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP7 · test_swap · combo SWAP7 · geth
nobs 4224
R² 0.7407
coef (ms) 1.529e-06
p-value 1.00e-03
95% CI [1.498e-06, 1.56e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.741
Model: NNLS Adj. R-squared: 0.741
No. Observations: 4224 RMSE: 19.05
Df Residuals: 4222 MAE: 13.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.8258 1.0668 0.001 30.7112 34.9609
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP7 · test_swap · combo SWAP7 · nethermind
nobs 1177
R² 0.4399
coef (ms) 5.117e-07
p-value 1.00e-03
95% CI [4.839e-07, 5.37e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.440
Model: NNLS Adj. R-squared: 0.439
No. Observations: 1177 RMSE: 12.16
Df Residuals: 1175 MAE: 4.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.4923 0.9394 0.001 14.8752 18.5226
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP7 · test_swap · combo SWAP7 · reth
nobs 110
R² 0.7888
coef (ms) 4.597e-07
p-value 1.00e-03
95% CI [4.173e-07, 5.03e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.789
Model: NNLS Adj. R-squared: 0.787
No. Observations: 110 RMSE: 5.01
Df Residuals: 108 MAE: 3.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.4449 1.3225 0.001 9.8443 15.1295
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP8 · test_swap · combo SWAP8 · besu
nobs 3773
R² 0.4773
coef (ms) 3.071e-06
p-value 1.00e-03
95% CI [2.975e-06, 3.17e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.477
Model: NNLS Adj. R-squared: 0.477
No. Observations: 3773 RMSE: 67.67
Df Residuals: 3771 MAE: 59.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 58.2530 3.2556 0.001 51.9320 64.4742
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP8 · test_swap · combo SWAP8 · erigon
nobs 253
R² 0.5144
coef (ms) 1.219e-06
p-value 1.00e-03
95% CI [1.001e-06, 1.339e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.514
Model: NNLS Adj. R-squared: 0.512
No. Observations: 253 RMSE: 24.94
Df Residuals: 251 MAE: 8.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.1103 7.2957 0.001 22.2941 50.3140
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP8 · test_swap · combo SWAP8 · ethrex
nobs 1606
R² 0.8214
coef (ms) 7.317e-07
p-value 1.00e-03
95% CI [7.131e-07, 7.493e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.821
Model: NNLS Adj. R-squared: 0.821
No. Observations: 1606 RMSE: 7.18
Df Residuals: 1604 MAE: 5.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.1930 0.6143 0.001 12.9670 15.4298
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP8 · test_swap · combo SWAP8 · geth
nobs 4224
R² 0.7597
coef (ms) 1.549e-06
p-value 1.00e-03
95% CI [1.521e-06, 1.582e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.760
Model: NNLS Adj. R-squared: 0.760
No. Observations: 4224 RMSE: 18.35
Df Residuals: 4222 MAE: 13.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.4627 1.0120 0.001 28.3667 32.4843
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP8 · test_swap · combo SWAP8 · nethermind
nobs 1177
R² 0.535
coef (ms) 4.962e-07
p-value 1.00e-03
95% CI [4.672e-07, 5.233e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.535
Model: NNLS Adj. R-squared: 0.535
No. Observations: 1177 RMSE: 9.74
Df Residuals: 1175 MAE: 4.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.5743 1.0468 0.001 15.6526 19.7080
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP8 · test_swap · combo SWAP8 · reth
nobs 110
R² 0.7883
coef (ms) 5.055e-07
p-value 1.00e-03
95% CI [4.545e-07, 5.587e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.788
Model: NNLS Adj. R-squared: 0.786
No. Observations: 110 RMSE: 5.52
Df Residuals: 108 MAE: 4.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9175 1.6674 0.001 6.6029 13.0979
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP9 · test_swap · combo SWAP9 · besu
nobs 3773
R² 0.4788
coef (ms) 3.041e-06
p-value 1.00e-03
95% CI [2.932e-06, 3.14e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.479
Model: NNLS Adj. R-squared: 0.479
No. Observations: 3773 RMSE: 66.79
Df Residuals: 3771 MAE: 59.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.8380 3.2894 0.001 53.5903 66.5984
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP9 · test_swap · combo SWAP9 · erigon
nobs 253
R² 0.9501
coef (ms) 1.262e-06
p-value 1.00e-03
95% CI [1.226e-06, 1.298e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.950
Model: NNLS Adj. R-squared: 0.950
No. Observations: 253 RMSE: 6.09
Df Residuals: 251 MAE: 5.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.9490 1.3594 0.001 21.3490 26.6264
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP9 · test_swap · combo SWAP9 · ethrex
nobs 1606
R² 0.8037
coef (ms) 7.029e-07
p-value 1.00e-03
95% CI [6.846e-07, 7.207e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.804
No. Observations: 1606 RMSE: 7.31
Df Residuals: 1604 MAE: 5.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.9675 0.6116 0.001 14.7826 17.1985
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP9 · test_swap · combo SWAP9 · geth
nobs 4224
R² 0.737
coef (ms) 1.55e-06
p-value 1.00e-03
95% CI [1.518e-06, 1.581e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.737
Model: NNLS Adj. R-squared: 0.737
No. Observations: 4224 RMSE: 19.49
Df Residuals: 4222 MAE: 13.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.3089 1.0689 0.001 29.2706 33.3976
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP9 · test_swap · combo SWAP9 · nethermind
nobs 1177
R² 0.4792
coef (ms) 5.156e-07
p-value 1.00e-03
95% CI [4.907e-07, 5.449e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.479
Model: NNLS Adj. R-squared: 0.479
No. Observations: 1177 RMSE: 11.32
Df Residuals: 1175 MAE: 4.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.6150 0.7369 0.001 15.0876 18.0123
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SWAP9 · test_swap · combo SWAP9 · reth
nobs 110
R² 0.7889
coef (ms) 4.733e-07
p-value 1.00e-03
95% CI [4.2e-07, 5.274e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.789
Model: NNLS Adj. R-squared: 0.787
No. Observations: 110 RMSE: 5.16
Df Residuals: 108 MAE: 3.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1934 1.7258 0.001 7.8373 14.5783
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMP · test_jump_benchmark · besu
nobs 3773
R² 0.4972
coef (ms) 2.788e-05
p-value 1.00e-03
95% CI [2.693e-05, 2.871e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.497
Model: NNLS Adj. R-squared: 0.497
No. Observations: 3773 RMSE: 104.19
Df Residuals: 3771 MAE: 79.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 111.3901 5.1371 0.001 102.0527 122.0065
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMP · test_jump_benchmark · erigon
nobs 253
R² 0.9486
coef (ms) 7.592e-06
p-value 1.00e-03
95% CI [7.341e-06, 7.812e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.949
Model: NNLS Adj. R-squared: 0.948
No. Observations: 253 RMSE: 6.57
Df Residuals: 251 MAE: 5.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.7949 1.4044 0.001 16.2064 21.8018
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMP · test_jump_benchmark · ethrex
nobs 1606
R² 0.817
coef (ms) 4.319e-06
p-value 1.00e-03
95% CI [4.216e-06, 4.424e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.817
No. Observations: 1606 RMSE: 7.60
Df Residuals: 1604 MAE: 6.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.1279 0.6217 0.001 16.9020 19.3567
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMP · test_jump_benchmark · geth
nobs 4224
R² 0.7812
coef (ms) 9.193e-06
p-value 1.00e-03
95% CI [9.039e-06, 9.355e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.781
Model: NNLS Adj. R-squared: 0.781
No. Observations: 4224 RMSE: 18.08
Df Residuals: 4222 MAE: 13.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.4190 1.0166 0.001 33.4742 37.3847
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMP · test_jump_benchmark · nethermind
nobs 1177
R² 0.8699
coef (ms) 5.263e-06
p-value 1.00e-03
95% CI [5.125e-06, 5.389e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.870
No. Observations: 1177 RMSE: 7.56
Df Residuals: 1175 MAE: 6.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.7407 0.8045 0.001 14.2159 17.3484
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMP · test_jump_benchmark · reth
nobs 99
R² 0.7663
coef (ms) 2.028e-06
p-value 1.00e-03
95% CI [1.792e-06, 2.286e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.766
Model: NNLS Adj. R-squared: 0.764
No. Observations: 99 RMSE: 4.16
Df Residuals: 97 MAE: 3.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.7673 1.5524 0.001 7.6693 13.8106
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMPI · test_jumpi_fallthrough · besu
nobs 3773
R² 0.3368
coef (ms) 6.968e-06
p-value 1.00e-03
95% CI [6.659e-06, 7.268e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.337
Model: NNLS Adj. R-squared: 0.337
No. Observations: 3773 RMSE: 44.12
Df Residuals: 3771 MAE: 40.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.9697 2.0168 0.001 27.9813 35.9037
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMPI · test_jumpi_fallthrough · erigon
nobs 253
R² 0.2155
coef (ms) 3.232e-06
p-value 1.00e-03
95% CI [2.074e-06, 3.836e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.215
Model: NNLS Adj. R-squared: 0.212
No. Observations: 253 RMSE: 27.83
Df Residuals: 251 MAE: 6.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.2627 8.5517 0.001 16.8744 47.4142
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMPI · test_jumpi_fallthrough · ethrex
nobs 1606
R² 0.8094
coef (ms) 1.585e-06
p-value 1.00e-03
95% CI [1.546e-06, 1.628e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.809
No. Observations: 1606 RMSE: 3.47
Df Residuals: 1604 MAE: 2.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.5848 0.2732 0.001 6.0486 7.1280
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMPI · test_jumpi_fallthrough · geth
nobs 4224
R² 0.7472
coef (ms) 5.789e-06
p-value 1.00e-03
95% CI [5.684e-06, 5.89e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.747
Model: NNLS Adj. R-squared: 0.747
No. Observations: 4224 RMSE: 15.19
Df Residuals: 4222 MAE: 10.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.1569 0.7467 0.001 19.7921 22.6362
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMPI · test_jumpi_fallthrough · nethermind
nobs 1177
R² 0.6124
coef (ms) 1.774e-06
p-value 1.00e-03
95% CI [1.709e-06, 1.84e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.612
Model: NNLS Adj. R-squared: 0.612
No. Observations: 1177 RMSE: 6.37
Df Residuals: 1175 MAE: 3.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.8386 0.4439 0.001 8.0014 9.7065
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMPI · test_jumpi_fallthrough · reth
nobs 99
R² 0.6581
coef (ms) 1.299e-06
p-value 1.00e-03
95% CI [1.102e-06, 1.587e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.658
Model: NNLS Adj. R-squared: 0.655
No. Observations: 99 RMSE: 4.23
Df Residuals: 97 MAE: 2.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.6254 1.5526 0.005 2.1968 8.0696
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMPDEST · test_jumpdests · besu
nobs 3773
R² 0.236
coef (ms) 1.897e-06
p-value 1.00e-03
95% CI [1.788e-06, 2.012e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.236
Model: NNLS Adj. R-squared: 0.236
No. Observations: 3773 RMSE: 215.58
Df Residuals: 3771 MAE: 196.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 66.7720 10.5972 0.001 46.4668 87.1674
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMPDEST · test_jumpdests · erigon
nobs 253
R² 0.7979
coef (ms) 8.482e-07
p-value 1.00e-03
95% CI [7.852e-07, 9.322e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.797
No. Observations: 253 RMSE: 26.96
Df Residuals: 251 MAE: 13.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.9060 6.4014 0.009 4.2491 28.8172
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMPDEST · test_jumpdests · ethrex
nobs 1606
R² 0.8416
coef (ms) 4.57e-07
p-value 1.00e-03
95% CI [4.472e-07, 4.669e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.842
Model: NNLS Adj. R-squared: 0.842
No. Observations: 1606 RMSE: 12.52
Df Residuals: 1604 MAE: 9.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.0949 0.9094 0.001 10.2835 13.8034
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMPDEST · test_jumpdests · geth
nobs 4224
R² 0.7201
coef (ms) 1.183e-06
p-value 1.00e-03
95% CI [1.158e-06, 1.207e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.720
Model: NNLS Adj. R-squared: 0.720
No. Observations: 4224 RMSE: 46.59
Df Residuals: 4222 MAE: 29.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.8015 2.6855 0.001 65.8528 76.2675
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMPDEST · test_jumpdests · nethermind
nobs 1177
R² 0.7224
coef (ms) 4.207e-07
p-value 1.00e-03
95% CI [4.063e-07, 4.37e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.722
Model: NNLS Adj. R-squared: 0.722
No. Observations: 1177 RMSE: 16.47
Df Residuals: 1175 MAE: 12.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.1114 1.4366 0.001 15.9491 21.8202
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
JUMPDEST · test_jumpdests · reth
nobs 99
R² 0.8688
coef (ms) 2.849e-07
p-value 1.00e-03
95% CI [2.593e-07, 3.106e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.867
No. Observations: 99 RMSE: 6.99
Df Residuals: 97 MAE: 5.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.3229 2.3814 0.001 7.4238 16.9563
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PC · test_pc_op · besu
nobs 3773
R² 0.5446
coef (ms) 3.616e-06
p-value 1.00e-03
95% CI [3.517e-06, 3.723e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.545
Model: NNLS Adj. R-squared: 0.544
No. Observations: 3773 RMSE: 98.86
Df Residuals: 3771 MAE: 88.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 97.5939 4.7223 0.001 87.9665 106.8491
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PC · test_pc_op · erigon
nobs 253
R² 0.8872
coef (ms) 1.469e-06
p-value 1.00e-03
95% CI [1.41e-06, 1.523e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.887
Model: NNLS Adj. R-squared: 0.887
No. Observations: 253 RMSE: 15.66
Df Residuals: 251 MAE: 9.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.6922 3.2988 0.001 20.6896 33.4640
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PC · test_pc_op · ethrex
nobs 1606
R² 0.8267
coef (ms) 5.613e-07
p-value 1.00e-03
95% CI [5.473e-07, 5.754e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.827
No. Observations: 1606 RMSE: 7.68
Df Residuals: 1604 MAE: 6.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.0073 0.6692 0.001 13.6959 16.2858
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PC · test_pc_op · geth
nobs 4224
R² 0.8094
coef (ms) 1.648e-06
p-value 1.00e-03
95% CI [1.622e-06, 1.676e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.809
No. Observations: 4224 RMSE: 23.91
Df Residuals: 4222 MAE: 18.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.7178 1.3436 0.001 37.9955 43.2195
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PC · test_pc_op · nethermind
nobs 1177
R² 0.8823
coef (ms) 7.756e-07
p-value 1.00e-03
95% CI [7.569e-07, 7.938e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.882
No. Observations: 1177 RMSE: 8.47
Df Residuals: 1175 MAE: 6.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.8920 0.8633 0.001 15.2300 18.5872
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PC · test_pc_op · reth
nobs 99
R² 0.9199
coef (ms) 6.078e-07
p-value 1.00e-03
95% CI [5.735e-07, 6.417e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.920
Model: NNLS Adj. R-squared: 0.919
No. Observations: 99 RMSE: 5.36
Df Residuals: 97 MAE: 3.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.9515 1.9104 0.001 9.4289 16.8012
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GAS · test_gas_op · besu
nobs 3773
R² 0.5574
coef (ms) 3.613e-06
p-value 1.00e-03
95% CI [3.506e-06, 3.71e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.557
Model: NNLS Adj. R-squared: 0.557
No. Observations: 3773 RMSE: 96.35
Df Residuals: 3771 MAE: 85.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.4424 4.8309 0.001 91.0262 109.9965
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GAS · test_gas_op · erigon
nobs 253
R² 0.5899
coef (ms) 1.631e-06
p-value 1.00e-03
95% CI [1.467e-06, 1.827e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.590
Model: NNLS Adj. R-squared: 0.588
No. Observations: 253 RMSE: 40.69
Df Residuals: 251 MAE: 13.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.6165 6.9189 0.025 0.0814 26.9712
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GAS · test_gas_op · ethrex
nobs 1606
R² 0.8146
coef (ms) 5.608e-07
p-value 1.00e-03
95% CI [5.459e-07, 5.747e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.814
No. Observations: 1606 RMSE: 8.01
Df Residuals: 1604 MAE: 6.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.0609 0.6689 0.001 13.7859 16.4401
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GAS · test_gas_op · geth
nobs 4224
R² 0.8165
coef (ms) 1.644e-06
p-value 1.00e-03
95% CI [1.619e-06, 1.671e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.816
Model: NNLS Adj. R-squared: 0.816
No. Observations: 4224 RMSE: 23.33
Df Residuals: 4222 MAE: 18.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.0154 1.3338 0.001 38.3583 43.5086
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GAS · test_gas_op · nethermind
nobs 1177
R² 0.8694
coef (ms) 7.813e-07
p-value 1.00e-03
95% CI [7.625e-07, 8.009e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 1177 RMSE: 9.06
Df Residuals: 1175 MAE: 6.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.1258 0.9109 0.001 13.2794 16.8438
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GAS · test_gas_op · reth
nobs 99
R² 0.8321
coef (ms) 5.168e-07
p-value 1.00e-03
95% CI [4.615e-07, 5.739e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.830
No. Observations: 99 RMSE: 6.95
Df Residuals: 97 MAE: 5.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.4918 2.5806 0.001 4.1350 14.7019
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BASEFEE · test_block_context_ops · besu
nobs 3773
R² 0.5364
coef (ms) 3.57e-06
p-value 1.00e-03
95% CI [3.453e-06, 3.675e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.536
Model: NNLS Adj. R-squared: 0.536
No. Observations: 3773 RMSE: 99.21
Df Residuals: 3771 MAE: 85.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 105.7326 4.9992 0.001 96.0574 115.9147
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BASEFEE · test_block_context_ops · erigon
nobs 253
R² 0.5156
coef (ms) 1.628e-06
p-value 1.00e-03
95% CI [1.535e-06, 1.709e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.516
Model: NNLS Adj. R-squared: 0.514
No. Observations: 253 RMSE: 47.18
Df Residuals: 251 MAE: 15.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.7849 6.5809 0.001 22.7521 47.7168
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BASEFEE · test_block_context_ops · ethrex
nobs 1606
R² 0.8269
coef (ms) 5.64e-07
p-value 1.00e-03
95% CI [5.504e-07, 5.764e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.827
No. Observations: 1606 RMSE: 7.72
Df Residuals: 1604 MAE: 6.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.7049 0.6435 0.001 13.4659 15.9994
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BASEFEE · test_block_context_ops · geth
nobs 4224
R² 0.8448
coef (ms) 1.952e-06
p-value 1.00e-03
95% CI [1.926e-06, 1.979e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.845
No. Observations: 4224 RMSE: 25.03
Df Residuals: 4222 MAE: 20.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.1439 1.4907 0.001 39.2927 44.9287
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BASEFEE · test_block_context_ops · nethermind
nobs 1177
R² 0.6077
coef (ms) 8.195e-07
p-value 1.00e-03
95% CI [7.779e-07, 8.618e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.608
Model: NNLS Adj. R-squared: 0.607
No. Observations: 1177 RMSE: 19.69
Df Residuals: 1175 MAE: 8.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.4298 1.9112 0.001 20.8888 28.3312
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BASEFEE · test_block_context_ops · reth
nobs 99
R² 0.8365
coef (ms) 5.035e-07
p-value 1.00e-03
95% CI [4.594e-07, 5.495e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.835
No. Observations: 99 RMSE: 6.66
Df Residuals: 97 MAE: 5.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1363 2.0830 0.001 7.0719 15.3387
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLOBBASEFEE · test_block_context_ops · besu
nobs 3773
R² 0.5201
coef (ms) 3.533e-06
p-value 1.00e-03
95% CI [3.423e-06, 3.641e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.520
Model: NNLS Adj. R-squared: 0.520
No. Observations: 3773 RMSE: 101.47
Df Residuals: 3771 MAE: 86.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.3043 5.0595 0.001 90.4550 110.4448
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLOBBASEFEE · test_block_context_ops · erigon
nobs 253
R² 0.6681
coef (ms) 1.705e-06
p-value 1.00e-03
95% CI [1.639e-06, 1.782e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.668
Model: NNLS Adj. R-squared: 0.667
No. Observations: 253 RMSE: 35.93
Df Residuals: 251 MAE: 12.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.1588 2.7353 0.001 17.2079 27.4574
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLOBBASEFEE · test_block_context_ops · ethrex
nobs 1606
R² 0.829
coef (ms) 5.655e-07
p-value 1.00e-03
95% CI [5.511e-07, 5.785e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 1606 RMSE: 7.68
Df Residuals: 1604 MAE: 6.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.6161 0.6543 0.001 13.4409 15.9692
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLOBBASEFEE · test_block_context_ops · geth
nobs 4224
R² 0.8486
coef (ms) 1.89e-06
p-value 1.00e-03
95% CI [1.864e-06, 1.915e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.849
No. Observations: 4224 RMSE: 23.88
Df Residuals: 4222 MAE: 19.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.3984 1.3449 0.001 44.9233 50.1322
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLOBBASEFEE · test_block_context_ops · nethermind
nobs 1177
R² 0.7918
coef (ms) 8.349e-07
p-value 1.00e-03
95% CI [8.077e-07, 8.636e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 1177 RMSE: 12.80
Df Residuals: 1175 MAE: 8.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.1202 1.3136 0.001 20.6692 25.6785
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLOBBASEFEE · test_block_context_ops · reth
nobs 99
R² 0.8031
coef (ms) 4.722e-07
p-value 1.00e-03
95% CI [4.297e-07, 5.243e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.801
No. Observations: 99 RMSE: 6.99
Df Residuals: 97 MAE: 5.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.0338 2.3650 0.001 10.1980 19.2891
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CHAINID · test_block_context_ops · besu
nobs 3773
R² 0.5355
coef (ms) 3.542e-06
p-value 1.00e-03
95% CI [3.438e-06, 3.647e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.535
Model: NNLS Adj. R-squared: 0.535
No. Observations: 3773 RMSE: 98.63
Df Residuals: 3771 MAE: 84.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 98.8233 4.9784 0.001 89.2151 108.2547
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CHAINID · test_block_context_ops · erigon
nobs 253
R² 0.9352
coef (ms) 1.622e-06
p-value 1.00e-03
95% CI [1.573e-06, 1.671e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.935
Model: NNLS Adj. R-squared: 0.935
No. Observations: 253 RMSE: 12.76
Df Residuals: 251 MAE: 10.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.3170 2.5065 0.001 16.6679 26.1700
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CHAINID · test_block_context_ops · ethrex
nobs 1606
R² 0.8274
coef (ms) 5.623e-07
p-value 1.00e-03
95% CI [5.497e-07, 5.759e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.827
No. Observations: 1606 RMSE: 7.68
Df Residuals: 1604 MAE: 6.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.9955 0.6382 0.001 13.7267 16.1793
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CHAINID · test_block_context_ops · geth
nobs 4224
R² 0.8339
coef (ms) 1.951e-06
p-value 1.00e-03
95% CI [1.924e-06, 1.979e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 4224 RMSE: 26.03
Df Residuals: 4222 MAE: 21.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.6884 1.4425 0.001 45.7444 51.5480
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CHAINID · test_block_context_ops · nethermind
nobs 1177
R² 0.7646
coef (ms) 8.476e-07
p-value 1.00e-03
95% CI [8.222e-07, 8.752e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.765
Model: NNLS Adj. R-squared: 0.764
No. Observations: 1177 RMSE: 14.06
Df Residuals: 1175 MAE: 7.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.2257 1.0737 0.001 18.0780 22.3532
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CHAINID · test_block_context_ops · reth
nobs 99
R² 0.8026
coef (ms) 4.921e-07
p-value 1.00e-03
95% CI [4.348e-07, 5.552e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.801
No. Observations: 99 RMSE: 7.30
Df Residuals: 97 MAE: 5.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.9477 2.6635 0.001 6.5126 17.1915
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
COINBASE · test_block_context_ops · besu
nobs 3773
R² 0.5585
coef (ms) 3.596e-06
p-value 1.00e-03
95% CI [3.494e-06, 3.688e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.559
Model: NNLS Adj. R-squared: 0.558
No. Observations: 3773 RMSE: 95.59
Df Residuals: 3771 MAE: 81.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 95.4238 4.5276 0.001 86.7279 104.8463
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
COINBASE · test_block_context_ops · erigon
nobs 253
R² 0.8602
coef (ms) 5.586e-06
p-value 1.00e-03
95% CI [5.354e-06, 5.818e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.860
Model: NNLS Adj. R-squared: 0.860
No. Observations: 253 RMSE: 67.33
Df Residuals: 251 MAE: 52.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.0764 11.5152 0.001 28.2242 72.6883
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
COINBASE · test_block_context_ops · ethrex
nobs 1606
R² 0.8295
coef (ms) 5.639e-07
p-value 1.00e-03
95% CI [5.504e-07, 5.774e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 1606 RMSE: 7.64
Df Residuals: 1604 MAE: 6.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.0326 0.6590 0.001 13.7358 16.3710
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
COINBASE · test_block_context_ops · geth
nobs 4224
R² 0.8616
coef (ms) 1.97e-06
p-value 1.00e-03
95% CI [1.948e-06, 1.994e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.862
Model: NNLS Adj. R-squared: 0.862
No. Observations: 4224 RMSE: 23.60
Df Residuals: 4222 MAE: 19.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.4858 1.2896 0.001 47.8758 52.7948
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
COINBASE · test_block_context_ops · nethermind
nobs 1177
R² 0.8775
coef (ms) 8.77e-07
p-value 1.00e-03
95% CI [8.57e-07, 8.962e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.877
No. Observations: 1177 RMSE: 9.80
Df Residuals: 1175 MAE: 7.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.4362 0.9089 0.001 20.7119 24.3616
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
COINBASE · test_block_context_ops · reth
nobs 99
R² 0.8729
coef (ms) 5.22e-07
p-value 1.00e-03
95% CI [4.813e-07, 5.614e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.873
Model: NNLS Adj. R-squared: 0.872
No. Observations: 99 RMSE: 5.96
Df Residuals: 97 MAE: 4.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2603 1.9790 0.001 5.4609 13.1111
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GASLIMIT · test_block_context_ops · besu
nobs 3773
R² 0.5932
coef (ms) 3.805e-06
p-value 1.00e-03
95% CI [3.701e-06, 3.907e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.593
Model: NNLS Adj. R-squared: 0.593
No. Observations: 3773 RMSE: 94.20
Df Residuals: 3771 MAE: 80.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 104.7716 4.6232 0.001 95.8109 114.0962
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GASLIMIT · test_block_context_ops · erigon
nobs 253
R² 0.8612
coef (ms) 1.531e-06
p-value 1.00e-03
95% CI [1.445e-06, 1.608e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.861
No. Observations: 253 RMSE: 18.37
Df Residuals: 251 MAE: 12.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.6509 4.2068 0.001 13.0481 29.7227
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GASLIMIT · test_block_context_ops · ethrex
nobs 1606
R² 0.8185
coef (ms) 5.642e-07
p-value 1.00e-03
95% CI [5.509e-07, 5.781e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.818
No. Observations: 1606 RMSE: 7.94
Df Residuals: 1604 MAE: 6.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.0527 0.6407 0.001 13.8145 16.2709
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GASLIMIT · test_block_context_ops · geth
nobs 4224
R² 0.8141
coef (ms) 1.63e-06
p-value 1.00e-03
95% CI [1.604e-06, 1.655e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.814
Model: NNLS Adj. R-squared: 0.814
No. Observations: 4224 RMSE: 23.29
Df Residuals: 4222 MAE: 18.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.5104 1.2642 0.001 40.1323 45.1229
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GASLIMIT · test_block_context_ops · nethermind
nobs 1177
R² 0.8369
coef (ms) 8.336e-07
p-value 1.00e-03
95% CI [8.062e-07, 8.582e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.837
Model: NNLS Adj. R-squared: 0.837
No. Observations: 1177 RMSE: 11.00
Df Residuals: 1175 MAE: 7.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.5170 1.4150 0.001 20.0837 25.4982
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GASLIMIT · test_block_context_ops · reth
nobs 99
R² 0.8574
coef (ms) 5.292e-07
p-value 1.00e-03
95% CI [4.824e-07, 5.773e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.857
Model: NNLS Adj. R-squared: 0.856
No. Observations: 99 RMSE: 6.45
Df Residuals: 97 MAE: 5.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.2707 2.1518 0.001 3.9139 12.5278
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
NUMBER · test_block_context_ops · besu
nobs 3773
R² 0.5967
coef (ms) 3.818e-06
p-value 1.00e-03
95% CI [3.721e-06, 3.919e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.597
Model: NNLS Adj. R-squared: 0.597
No. Observations: 3773 RMSE: 93.85
Df Residuals: 3771 MAE: 79.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.4781 4.6054 0.001 92.7785 110.9265
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
NUMBER · test_block_context_ops · erigon
nobs 253
R² 0.4457
coef (ms) 1.806e-06
p-value 1.00e-03
95% CI [1.545e-06, 1.917e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.446
Model: NNLS Adj. R-squared: 0.444
No. Observations: 253 RMSE: 60.20
Df Residuals: 251 MAE: 21.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.9420 6.1226 0.445 0.0000 19.7409
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
NUMBER · test_block_context_ops · ethrex
nobs 1606
R² 0.8274
coef (ms) 5.622e-07
p-value 1.00e-03
95% CI [5.483e-07, 5.761e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.827
No. Observations: 1606 RMSE: 7.68
Df Residuals: 1604 MAE: 6.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.1143 0.6575 0.001 13.8287 16.3896
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
NUMBER · test_block_context_ops · geth
nobs 4224
R² 0.8467
coef (ms) 1.919e-06
p-value 1.00e-03
95% CI [1.89e-06, 1.949e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.847
Model: NNLS Adj. R-squared: 0.847
No. Observations: 4224 RMSE: 24.42
Df Residuals: 4222 MAE: 20.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.5112 1.4871 0.001 42.6197 48.5378
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
NUMBER · test_block_context_ops · nethermind
nobs 1177
R² 0.8834
coef (ms) 8.42e-07
p-value 1.00e-03
95% CI [8.233e-07, 8.619e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.883
Model: NNLS Adj. R-squared: 0.883
No. Observations: 1177 RMSE: 9.15
Df Residuals: 1175 MAE: 7.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.4882 0.8984 0.001 19.7449 23.2131
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
NUMBER · test_block_context_ops · reth
nobs 99
R² 0.7293
coef (ms) 4.279e-07
p-value 1.00e-03
95% CI [3.845e-07, 4.732e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.729
Model: NNLS Adj. R-squared: 0.726
No. Observations: 99 RMSE: 7.79
Df Residuals: 97 MAE: 6.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.5089 2.1554 0.001 12.1262 20.6135
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PREVRANDAO · test_block_context_ops · besu
nobs 3773
R² 0.546
coef (ms) 3.603e-06
p-value 1.00e-03
95% CI [3.505e-06, 3.711e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.546
Model: NNLS Adj. R-squared: 0.546
No. Observations: 3773 RMSE: 98.25
Df Residuals: 3771 MAE: 84.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.4814 4.7931 0.001 92.7309 111.4975
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PREVRANDAO · test_block_context_ops · erigon
nobs 253
R² 0.9056
coef (ms) 3.056e-06
p-value 1.00e-03
95% CI [2.943e-06, 3.178e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.906
Model: NNLS Adj. R-squared: 0.905
No. Observations: 253 RMSE: 29.50
Df Residuals: 251 MAE: 24.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.6865 5.8049 0.001 19.4142 42.1909
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PREVRANDAO · test_block_context_ops · ethrex
nobs 1606
R² 0.8195
coef (ms) 6.439e-07
p-value 1.00e-03
95% CI [6.277e-07, 6.588e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.819
Model: NNLS Adj. R-squared: 0.819
No. Observations: 1606 RMSE: 9.04
Df Residuals: 1604 MAE: 7.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.3772 0.7669 0.001 14.9850 17.8876
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PREVRANDAO · test_block_context_ops · geth
nobs 4224
R² 0.8103
coef (ms) 1.896e-06
p-value 1.00e-03
95% CI [1.867e-06, 1.926e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.810
No. Observations: 4224 RMSE: 27.43
Df Residuals: 4222 MAE: 22.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.9538 1.5368 0.001 43.9888 50.0441
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PREVRANDAO · test_block_context_ops · nethermind
nobs 1177
R² 0.884
coef (ms) 8.203e-07
p-value 1.00e-03
95% CI [8.023e-07, 8.391e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.884
Model: NNLS Adj. R-squared: 0.884
No. Observations: 1177 RMSE: 8.88
Df Residuals: 1175 MAE: 7.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.6266 0.8571 0.001 19.9586 23.3741
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
PREVRANDAO · test_block_context_ops · reth
nobs 99
R² 0.8542
coef (ms) 4.942e-07
p-value 1.00e-03
95% CI [4.546e-07, 5.352e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.853
No. Observations: 99 RMSE: 6.10
Df Residuals: 97 MAE: 4.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.1912 2.0355 0.001 8.1758 16.1465
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
TIMESTAMP · test_block_context_ops · besu
nobs 3773
R² 0.5971
coef (ms) 3.814e-06
p-value 1.00e-03
95% CI [3.714e-06, 3.922e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.597
Model: NNLS Adj. R-squared: 0.597
No. Observations: 3773 RMSE: 93.69
Df Residuals: 3771 MAE: 80.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.8230 4.8501 0.001 93.5770 112.1256
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
TIMESTAMP · test_block_context_ops · erigon
nobs 253
R² 0.8468
coef (ms) 1.545e-06
p-value 1.00e-03
95% CI [1.466e-06, 1.663e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.847
Model: NNLS Adj. R-squared: 0.846
No. Observations: 253 RMSE: 19.65
Df Residuals: 251 MAE: 9.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.8395 3.8839 0.001 9.0005 24.4829
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
TIMESTAMP · test_block_context_ops · ethrex
nobs 1606
R² 0.8304
coef (ms) 5.683e-07
p-value 1.00e-03
95% CI [5.551e-07, 5.815e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.830
No. Observations: 1606 RMSE: 7.68
Df Residuals: 1604 MAE: 6.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.3308 0.6437 0.001 13.0842 15.5783
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
TIMESTAMP · test_block_context_ops · geth
nobs 4224
R² 0.7933
coef (ms) 1.614e-06
p-value 1.00e-03
95% CI [1.59e-06, 1.642e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.793
Model: NNLS Adj. R-squared: 0.793
No. Observations: 4224 RMSE: 24.64
Df Residuals: 4222 MAE: 19.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.4635 1.3056 0.001 39.7527 44.9087
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
TIMESTAMP · test_block_context_ops · nethermind
nobs 1177
R² 0.9105
coef (ms) 9.042e-07
p-value 1.00e-03
95% CI [8.874e-07, 9.21e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.910
Model: NNLS Adj. R-squared: 0.910
No. Observations: 1177 RMSE: 8.48
Df Residuals: 1175 MAE: 6.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.4623 0.7672 0.001 12.9903 16.0151
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
TIMESTAMP · test_block_context_ops · reth
nobs 99
R² 0.8047
coef (ms) 4.317e-07
p-value 1.00e-03
95% CI [3.895e-07, 4.774e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.803
No. Observations: 99 RMSE: 6.36
Df Residuals: 97 MAE: 5.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.4831 2.1076 0.001 9.2410 17.7828
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GASPRICE · test_call_frame_context_ops · besu
nobs 3773
R² 0.4926
coef (ms) 3.407e-06
p-value 1.00e-03
95% CI [3.293e-06, 3.52e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.493
Model: NNLS Adj. R-squared: 0.492
No. Observations: 3773 RMSE: 103.39
Df Residuals: 3771 MAE: 92.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 98.8652 5.0089 0.001 88.8846 108.6958
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GASPRICE · test_call_frame_context_ops · erigon
nobs 253
R² 0.9312
coef (ms) 1.583e-06
p-value 1.00e-03
95% CI [1.53e-06, 1.638e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.931
Model: NNLS Adj. R-squared: 0.931
No. Observations: 253 RMSE: 12.86
Df Residuals: 251 MAE: 9.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.5262 2.5316 0.001 21.3676 31.4306
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GASPRICE · test_call_frame_context_ops · ethrex
nobs 1606
R² 0.8252
coef (ms) 5.572e-07
p-value 1.00e-03
95% CI [5.438e-07, 5.722e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.825
Model: NNLS Adj. R-squared: 0.825
No. Observations: 1606 RMSE: 7.67
Df Residuals: 1604 MAE: 6.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.8897 0.6536 0.001 14.5499 17.1415
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GASPRICE · test_call_frame_context_ops · geth
nobs 4224
R² 0.7836
coef (ms) 1.642e-06
p-value 1.00e-03
95% CI [1.614e-06, 1.669e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.784
Model: NNLS Adj. R-squared: 0.784
No. Observations: 4224 RMSE: 25.80
Df Residuals: 4222 MAE: 20.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.3158 1.4365 0.001 40.5541 46.1559
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GASPRICE · test_call_frame_context_ops · nethermind
nobs 1177
R² 0.865
coef (ms) 7.173e-07
p-value 1.00e-03
95% CI [7e-07, 7.347e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.865
No. Observations: 1177 RMSE: 8.47
Df Residuals: 1175 MAE: 6.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.2043 0.7928 0.001 21.6726 24.6910
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
GASPRICE · test_call_frame_context_ops · reth
nobs 110
R² 0.8173
coef (ms) 5.178e-07
p-value 1.00e-03
95% CI [4.737e-07, 5.65e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.816
No. Observations: 110 RMSE: 7.32
Df Residuals: 108 MAE: 5.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.4661 2.1731 0.001 7.1291 15.6098
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ORIGIN · test_call_frame_context_ops · besu
nobs 3773
R² 0.4773
coef (ms) 3.269e-06
p-value 1.00e-03
95% CI [3.164e-06, 3.371e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.477
Model: NNLS Adj. R-squared: 0.477
No. Observations: 3773 RMSE: 102.30
Df Residuals: 3771 MAE: 91.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 114.9312 4.9051 0.001 105.8440 124.7154
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ORIGIN · test_call_frame_context_ops · erigon
nobs 253
R² 0.8769
coef (ms) 5.719e-06
p-value 1.00e-03
95% CI [5.437e-06, 6.015e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.876
No. Observations: 253 RMSE: 64.08
Df Residuals: 251 MAE: 49.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.7426 13.4202 0.003 14.9054 67.0913
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ORIGIN · test_call_frame_context_ops · ethrex
nobs 1606
R² 0.8316
coef (ms) 6.206e-07
p-value 1.00e-03
95% CI [6.054e-07, 6.349e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.831
No. Observations: 1606 RMSE: 8.35
Df Residuals: 1604 MAE: 6.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.2484 0.7116 0.001 14.9183 17.6908
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ORIGIN · test_call_frame_context_ops · geth
nobs 4224
R² 0.8539
coef (ms) 1.985e-06
p-value 1.00e-03
95% CI [1.959e-06, 2.012e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.854
No. Observations: 4224 RMSE: 24.56
Df Residuals: 4222 MAE: 19.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.3678 1.3617 0.001 46.7633 52.0598
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ORIGIN · test_call_frame_context_ops · nethermind
nobs 1177
R² 0.8175
coef (ms) 7.039e-07
p-value 1.00e-03
95% CI [6.832e-07, 7.229e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.817
No. Observations: 1177 RMSE: 9.94
Df Residuals: 1175 MAE: 6.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.0403 1.0588 0.001 22.1866 26.1483
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ORIGIN · test_call_frame_context_ops · reth
nobs 110
R² 0.8245
coef (ms) 4.724e-07
p-value 1.00e-03
95% CI [4.371e-07, 5.103e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.825
Model: NNLS Adj. R-squared: 0.823
No. Observations: 110 RMSE: 6.52
Df Residuals: 108 MAE: 5.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.7029 1.7768 0.001 11.3690 18.3336
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDRESS · test_call_frame_context_ops · besu
nobs 3773
R² 0.5212
coef (ms) 3.54e-06
p-value 1.00e-03
95% CI [3.422e-06, 3.641e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.521
Model: NNLS Adj. R-squared: 0.521
No. Observations: 3773 RMSE: 101.45
Df Residuals: 3771 MAE: 87.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.2405 4.9720 0.001 91.0959 110.8680
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDRESS · test_call_frame_context_ops · erigon
nobs 253
R² 0.8973
coef (ms) 5.569e-06
p-value 1.00e-03
95% CI [5.348e-06, 5.782e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.897
Model: NNLS Adj. R-squared: 0.897
No. Observations: 253 RMSE: 56.33
Df Residuals: 251 MAE: 49.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.1296 11.7124 0.001 26.5208 72.2355
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDRESS · test_call_frame_context_ops · ethrex
nobs 1606
R² 0.8246
coef (ms) 6.14e-07
p-value 1.00e-03
95% CI [5.975e-07, 6.294e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.825
Model: NNLS Adj. R-squared: 0.825
No. Observations: 1606 RMSE: 8.47
Df Residuals: 1604 MAE: 6.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.7497 0.7460 0.001 15.3000 18.2161
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDRESS · test_call_frame_context_ops · geth
nobs 4224
R² 0.8321
coef (ms) 2.298e-06
p-value 1.00e-03
95% CI [2.264e-06, 2.331e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 4224 RMSE: 30.86
Df Residuals: 4222 MAE: 25.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 61.0553 1.6826 0.001 57.6800 64.3464
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDRESS · test_call_frame_context_ops · nethermind
nobs 1177
R² 0.8828
coef (ms) 8.094e-07
p-value 1.00e-03
95% CI [7.898e-07, 8.277e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.883
Model: NNLS Adj. R-squared: 0.883
No. Observations: 1177 RMSE: 8.82
Df Residuals: 1175 MAE: 6.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.5567 0.9115 0.001 14.8575 18.4266
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ADDRESS · test_call_frame_context_ops · reth
nobs 99
R² 0.835
coef (ms) 4.772e-07
p-value 1.00e-03
95% CI [4.341e-07, 5.194e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.833
No. Observations: 99 RMSE: 6.34
Df Residuals: 97 MAE: 4.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.8522 2.1342 0.001 10.0797 18.2174
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLER · test_call_frame_context_ops · besu
nobs 3773
R² 0.5417
coef (ms) 3.593e-06
p-value 1.00e-03
95% CI [3.485e-06, 3.7e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.542
Model: NNLS Adj. R-squared: 0.542
No. Observations: 3773 RMSE: 98.82
Df Residuals: 3771 MAE: 84.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.1078 4.8525 0.001 86.8044 105.7371
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLER · test_call_frame_context_ops · erigon
nobs 253
R² 0.8864
coef (ms) 5.591e-06
p-value 1.00e-03
95% CI [5.343e-06, 5.824e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.886
No. Observations: 253 RMSE: 59.83
Df Residuals: 251 MAE: 50.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.2154 12.0940 0.001 24.4417 71.9145
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLER · test_call_frame_context_ops · ethrex
nobs 1606
R² 0.8361
coef (ms) 6.099e-07
p-value 1.00e-03
95% CI [5.946e-07, 6.249e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.836
No. Observations: 1606 RMSE: 8.07
Df Residuals: 1604 MAE: 6.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.0021 0.7061 0.001 14.6548 17.3737
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLER · test_call_frame_context_ops · geth
nobs 4224
R² 0.8293
coef (ms) 2.285e-06
p-value 1.00e-03
95% CI [2.251e-06, 2.319e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 4224 RMSE: 31.00
Df Residuals: 4222 MAE: 25.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.2461 1.7235 0.001 58.8908 65.5160
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLER · test_call_frame_context_ops · nethermind
nobs 1177
R² 0.848
coef (ms) 7.937e-07
p-value 1.00e-03
95% CI [7.76e-07, 8.116e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.848
No. Observations: 1177 RMSE: 10.05
Df Residuals: 1175 MAE: 6.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.1243 0.9107 0.001 15.4218 18.8741
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLER · test_call_frame_context_ops · reth
nobs 99
R² 0.8391
coef (ms) 4.896e-07
p-value 1.00e-03
95% CI [4.505e-07, 5.334e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.837
No. Observations: 99 RMSE: 6.41
Df Residuals: 97 MAE: 4.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.5644 1.8359 0.001 7.8759 15.2569
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLVALUE · test_callvalue_from_origin · besu
nobs 3773
R² 0.3478
coef (ms) 4.957e-06
p-value 1.00e-03
95% CI [4.747e-06, 5.17e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.348
Model: NNLS Adj. R-squared: 0.348
No. Observations: 3773 RMSE: 107.18
Df Residuals: 3771 MAE: 96.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.9412 5.1233 0.001 65.0236 84.7379
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLVALUE · test_callvalue_from_origin · erigon
nobs 253
R² 0.4563
coef (ms) 1.906e-06
p-value 1.00e-03
95% CI [1.656e-06, 2.086e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.456
Model: NNLS Adj. R-squared: 0.454
No. Observations: 253 RMSE: 32.85
Df Residuals: 251 MAE: 11.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.1943 7.1365 0.001 16.7058 44.9942
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLVALUE · test_callvalue_from_origin · ethrex
nobs 1606
R² 0.8136
coef (ms) 9.587e-07
p-value 1.00e-03
95% CI [9.347e-07, 9.812e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.814
Model: NNLS Adj. R-squared: 0.813
No. Observations: 1606 RMSE: 7.25
Df Residuals: 1604 MAE: 5.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.8523 0.5785 0.001 9.7929 12.0548
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLVALUE · test_callvalue_from_origin · geth
nobs 4224
R² 0.7045
coef (ms) 2.864e-06
p-value 1.00e-03
95% CI [2.799e-06, 2.928e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.705
Model: NNLS Adj. R-squared: 0.704
No. Observations: 4224 RMSE: 29.28
Df Residuals: 4222 MAE: 20.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.0368 1.6403 0.001 34.7918 41.2200
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLVALUE · test_callvalue_from_origin · nethermind
nobs 1177
R² 0.8513
coef (ms) 7.529e-07
p-value 1.00e-03
95% CI [7.306e-07, 7.719e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.851
No. Observations: 1177 RMSE: 4.97
Df Residuals: 1175 MAE: 3.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.0754 0.5192 0.001 10.0837 12.1746
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLVALUE · test_callvalue_from_origin · reth
nobs 99
R² 0.8199
coef (ms) 7.958e-07
p-value 1.00e-03
95% CI [7.208e-07, 8.797e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.820
Model: NNLS Adj. R-squared: 0.818
No. Observations: 99 RMSE: 5.89
Df Residuals: 97 MAE: 4.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.6277 2.0244 0.001 4.5471 12.3901
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 0 · besu
nobs 3773
R² 0
coef (ms) 0
p-value 1.00e+00
95% CI [0, 0]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.000
Model: NNLS Adj. R-squared: -0.000
No. Observations: 3773 RMSE: 1.13
Df Residuals: 3771 MAE: 0.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.6988 0.0190 0.001 4.6641 4.7385
opcount 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 0 · erigon
nobs 253
R² 0.2825
coef (ms) 6.657e-05
p-value 1.00e-03
95% CI [5.513e-05, 7.915e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.282
Model: NNLS Adj. R-squared: 0.280
No. Observations: 253 RMSE: 0.41
Df Residuals: 251 MAE: 0.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.5503 0.0676 0.001 5.4105 5.6788
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 0 · ethrex
nobs 1606
R² 0.2089
coef (ms) 1.732e-05
p-value 1.00e-03
95% CI [1.563e-05, 1.898e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.209
Model: NNLS Adj. R-squared: 0.208
No. Observations: 1606 RMSE: 0.13
Df Residuals: 1604 MAE: 0.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.4639 0.0110 0.001 2.4424 2.4858
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 0 · geth
nobs 4224
R² 0.01728
coef (ms) 3.94e-05
p-value 1.00e-03
95% CI [3.113e-05, 4.785e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.017
Model: NNLS Adj. R-squared: 0.017
No. Observations: 4224 RMSE: 1.14
Df Residuals: 4222 MAE: 0.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.5286 0.0553 0.001 2.4252 2.6377
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 0 · nethermind
nobs 1177
R² 0.01341
coef (ms) 1.414e-05
p-value 1.00e-03
95% CI [6.2e-06, 2.136e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.013
Model: NNLS Adj. R-squared: 0.013
No. Observations: 1177 RMSE: 0.47
Df Residuals: 1175 MAE: 0.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.2346 0.0535 0.001 2.1429 2.3525
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 0 · reth
nobs 99
R² 0.3844
coef (ms) 3.266e-05
p-value 1.00e-03
95% CI [2.476e-05, 4.043e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.384
Model: NNLS Adj. R-squared: 0.378
No. Observations: 99 RMSE: 0.16
Df Residuals: 97 MAE: 0.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.3007 0.0556 0.001 1.1969 1.4162
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 1024 · besu
nobs 3773
R² 0.1967
coef (ms) 3.563e-05
p-value 1.00e-03
95% CI [3.348e-05, 3.778e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.197
Model: NNLS Adj. R-squared: 0.196
No. Observations: 3773 RMSE: 0.28
Df Residuals: 3771 MAE: 0.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.1966 0.0147 0.001 3.1683 3.2253
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 1024 · erigon
nobs 253
R² 0.01403
coef (ms) 7.023e-05
p-value 1.00e-03
95% CI [2.608e-05, 0.0001569]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.014
Model: NNLS Adj. R-squared: 0.010
No. Observations: 253 RMSE: 2.26
Df Residuals: 251 MAE: 0.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2232 0.3264 0.001 5.4530 6.6298
opcount 0.0001 0.0000 0.001 0.0000 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 1024 · ethrex
nobs 1606
R² 0.4309
coef (ms) 3.025e-05
p-value 1.00e-03
95% CI [2.836e-05, 3.197e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.431
Model: NNLS Adj. R-squared: 0.431
No. Observations: 1606 RMSE: 0.13
Df Residuals: 1604 MAE: 0.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.4165 0.0120 0.001 2.3944 2.4410
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 1024 · geth
nobs 4224
R² 0.07158
coef (ms) 9.117e-05
p-value 1.00e-03
95% CI [8.131e-05, 0.0001016]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.072
Model: NNLS Adj. R-squared: 0.071
No. Observations: 4224 RMSE: 1.26
Df Residuals: 4222 MAE: 0.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.6976 0.0646 0.001 2.5770 2.8225
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 1024 · nethermind
nobs 1177
R² 0.1488
coef (ms) 3.435e-05
p-value 1.00e-03
95% CI [3.154e-05, 3.715e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.149
Model: NNLS Adj. R-squared: 0.148
No. Observations: 1177 RMSE: 0.32
Df Residuals: 1175 MAE: 0.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.0621 0.0205 0.001 2.0229 2.1032
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 1024 · reth
nobs 99
R² 0.5192
coef (ms) 5.377e-05
p-value 1.00e-03
95% CI [4.393e-05, 6.577e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.519
Model: NNLS Adj. R-squared: 0.514
No. Observations: 99 RMSE: 0.20
Df Residuals: 97 MAE: 0.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.1348 0.0613 0.001 1.0036 1.2483
opcount 0.0001 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 256 · besu
nobs 3773
R² 0.1067
coef (ms) 2.425e-05
p-value 1.00e-03
95% CI [2.199e-05, 2.64e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.107
Model: NNLS Adj. R-squared: 0.106
No. Observations: 3773 RMSE: 0.27
Df Residuals: 3771 MAE: 0.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.0880 0.0148 0.001 3.0601 3.1180
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 256 · erigon
nobs 253
R² 0.2689
coef (ms) 6.96e-05
p-value 1.00e-03
95% CI [5.461e-05, 8.578e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.269
Model: NNLS Adj. R-squared: 0.266
No. Observations: 253 RMSE: 0.44
Df Residuals: 251 MAE: 0.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.6803 0.0908 0.001 5.4968 5.8431
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 256 · ethrex
nobs 1606
R² 0.312
coef (ms) 2.277e-05
p-value 1.00e-03
95% CI [2.122e-05, 2.437e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.312
Model: NNLS Adj. R-squared: 0.312
No. Observations: 1606 RMSE: 0.13
Df Residuals: 1604 MAE: 0.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.4248 0.0105 0.001 2.4040 2.4443
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 256 · geth
nobs 4224
R² 0.01297
coef (ms) 3.769e-05
p-value 1.00e-03
95% CI [2.825e-05, 4.6e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.013
Model: NNLS Adj. R-squared: 0.013
No. Observations: 4224 RMSE: 1.26
Df Residuals: 4222 MAE: 0.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.8449 0.0576 0.001 2.7420 2.9636
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 256 · nethermind
nobs 1177
R² 0.002198
coef (ms) 7.173e-05
p-value 1.00e-03
95% CI [2.627e-05, 0.0001893]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.002
Model: NNLS Adj. R-squared: 0.001
No. Observations: 1177 RMSE: 5.87
Df Residuals: 1175 MAE: 0.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.6532 0.3960 0.003 0.6743 2.0570
opcount 0.0001 0.0000 0.001 0.0000 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 256 · reth
nobs 99
R² 0.601
coef (ms) 4.794e-05
p-value 1.00e-03
95% CI [4.124e-05, 5.407e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.601
Model: NNLS Adj. R-squared: 0.597
No. Observations: 99 RMSE: 0.15
Df Residuals: 97 MAE: 0.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.1189 0.0442 0.001 1.0369 1.2062
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 32 · besu
nobs 3773
R² 0.1338
coef (ms) 3.032e-05
p-value 1.00e-03
95% CI [2.813e-05, 3.267e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.134
Model: NNLS Adj. R-squared: 0.134
No. Observations: 3773 RMSE: 0.30
Df Residuals: 3771 MAE: 0.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.9946 0.0159 0.001 2.9630 3.0250
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 32 · erigon
nobs 253
R² 0.1261
coef (ms) 7.127e-05
p-value 1.00e-03
95% CI [4.535e-05, 0.0001053]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.126
Model: NNLS Adj. R-squared: 0.123
No. Observations: 253 RMSE: 0.72
Df Residuals: 251 MAE: 0.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.6734 0.1645 0.001 5.3082 5.9467
opcount 0.0001 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 32 · ethrex
nobs 1606
R² 0.2444
coef (ms) 1.945e-05
p-value 1.00e-03
95% CI [1.76e-05, 2.11e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.244
Model: NNLS Adj. R-squared: 0.244
No. Observations: 1606 RMSE: 0.13
Df Residuals: 1604 MAE: 0.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.4499 0.0115 0.001 2.4286 2.4727
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 32 · geth
nobs 4224
R² 0.01212
coef (ms) 3.481e-05
p-value 1.00e-03
95% CI [2.504e-05, 4.362e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.012
Model: NNLS Adj. R-squared: 0.012
No. Observations: 4224 RMSE: 1.21
Df Residuals: 4222 MAE: 0.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.7154 0.0609 0.001 2.6045 2.8417
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 32 · nethermind
nobs 1177
R² 0
coef (ms) 0
p-value 1.00e+00
95% CI [0, 1.463e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.000
Model: NNLS Adj. R-squared: -0.001
No. Observations: 1177 RMSE: 5.39
Df Residuals: 1175 MAE: 0.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.5648 0.2154 0.001 2.2148 2.8898
opcount 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATALOAD · test_calldataload · combo 32 · reth
nobs 99
R² 0.4317
coef (ms) 3.576e-05
p-value 1.00e-03
95% CI [2.733e-05, 4.439e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.432
Model: NNLS Adj. R-squared: 0.426
No. Observations: 99 RMSE: 0.16
Df Residuals: 97 MAE: 0.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.2347 0.0548 0.001 1.1265 1.3444
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 0 · besu
nobs 3773
R² 0.5672
coef (ms) 3.983e-06
p-value 1.00e-03
95% CI [3.871e-06, 4.093e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.567
Model: NNLS Adj. R-squared: 0.567
No. Observations: 3773 RMSE: 104.12
Df Residuals: 3771 MAE: 92.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 110.0366 5.1655 0.001 99.9844 119.3903
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 0 · erigon
nobs 253
R² 0.6643
coef (ms) 1.382e-06
p-value 1.00e-03
95% CI [1.169e-06, 1.505e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.664
Model: NNLS Adj. R-squared: 0.663
No. Observations: 253 RMSE: 29.40
Df Residuals: 251 MAE: 11.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.2381 10.2995 0.001 19.5614 57.1472
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 0 · ethrex
nobs 1606
R² 0.7762
coef (ms) 5.215e-07
p-value 1.00e-03
95% CI [5.076e-07, 5.354e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.776
Model: NNLS Adj. R-squared: 0.776
No. Observations: 1606 RMSE: 8.38
Df Residuals: 1604 MAE: 6.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.4094 0.6321 0.001 12.1272 14.5704
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 0 · geth
nobs 4224
R² 0.8068
coef (ms) 1.604e-06
p-value 1.00e-03
95% CI [1.578e-06, 1.631e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.807
Model: NNLS Adj. R-squared: 0.807
No. Observations: 4224 RMSE: 23.50
Df Residuals: 4222 MAE: 18.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.6852 1.3104 0.001 39.1151 44.3475
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 0 · nethermind
nobs 1177
R² 0.8045
coef (ms) 7.701e-07
p-value 1.00e-03
95% CI [7.494e-07, 7.889e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.804
No. Observations: 1177 RMSE: 11.36
Df Residuals: 1175 MAE: 7.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.5673 1.0705 0.001 15.6274 19.7368
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 0 · reth
nobs 99
R² 0.8297
coef (ms) 5.109e-07
p-value 1.00e-03
95% CI [4.655e-07, 5.548e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.828
No. Observations: 99 RMSE: 6.93
Df Residuals: 97 MAE: 5.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.0831 2.3031 0.001 11.7048 20.8734
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 1024 · besu
nobs 3773
R² 0.5681
coef (ms) 3.994e-06
p-value 1.00e-03
95% CI [3.886e-06, 4.107e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.568
Model: NNLS Adj. R-squared: 0.568
No. Observations: 3773 RMSE: 104.21
Df Residuals: 3771 MAE: 92.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 108.4884 5.0903 0.001 98.6010 118.7641
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 1024 · erigon
nobs 253
R² 0.6224
coef (ms) 1.39e-06
p-value 1.00e-03
95% CI [1.204e-06, 1.506e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.622
Model: NNLS Adj. R-squared: 0.621
No. Observations: 253 RMSE: 32.39
Df Residuals: 251 MAE: 11.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.2240 9.6235 0.001 21.2063 56.2598
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 1024 · ethrex
nobs 1606
R² 0.8013
coef (ms) 5.447e-07
p-value 1.00e-03
95% CI [5.306e-07, 5.579e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.801
Model: NNLS Adj. R-squared: 0.801
No. Observations: 1606 RMSE: 8.12
Df Residuals: 1604 MAE: 6.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.8849 0.6031 0.001 10.7025 13.1200
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 1024 · geth
nobs 4224
R² 0.8207
coef (ms) 1.624e-06
p-value 1.00e-03
95% CI [1.6e-06, 1.648e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.821
Model: NNLS Adj. R-squared: 0.821
No. Observations: 4224 RMSE: 22.71
Df Residuals: 4222 MAE: 18.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.4063 1.2157 0.001 39.0259 43.7179
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 1024 · nethermind
nobs 1177
R² 0.8447
coef (ms) 7.901e-07
p-value 1.00e-03
95% CI [7.678e-07, 8.149e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.845
No. Observations: 1177 RMSE: 10.14
Df Residuals: 1175 MAE: 6.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.0567 1.0533 0.001 13.8349 18.0992
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 1024 · reth
nobs 99
R² 0.8528
coef (ms) 5.159e-07
p-value 1.00e-03
95% CI [4.776e-07, 5.544e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.851
No. Observations: 99 RMSE: 6.41
Df Residuals: 97 MAE: 5.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.5746 1.9288 0.001 9.9271 17.1990
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 256 · besu
nobs 3773
R² 0.566
coef (ms) 3.993e-06
p-value 1.00e-03
95% CI [3.869e-06, 4.099e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.566
Model: NNLS Adj. R-squared: 0.566
No. Observations: 3773 RMSE: 104.65
Df Residuals: 3771 MAE: 93.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 108.5931 5.2505 0.001 98.7371 119.5166
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 256 · erigon
nobs 253
R² 0.6448
coef (ms) 1.386e-06
p-value 1.00e-03
95% CI [1.158e-06, 1.523e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.645
Model: NNLS Adj. R-squared: 0.643
No. Observations: 253 RMSE: 30.79
Df Residuals: 251 MAE: 10.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.7725 11.1814 0.001 19.0185 59.8003
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 256 · ethrex
nobs 1606
R² 0.793
coef (ms) 5.35e-07
p-value 1.00e-03
95% CI [5.228e-07, 5.497e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.793
Model: NNLS Adj. R-squared: 0.793
No. Observations: 1606 RMSE: 8.18
Df Residuals: 1604 MAE: 6.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.8460 0.6071 0.001 11.5684 13.9665
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 256 · geth
nobs 4224
R² 0.8187
coef (ms) 1.62e-06
p-value 1.00e-03
95% CI [1.595e-06, 1.646e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.819
Model: NNLS Adj. R-squared: 0.819
No. Observations: 4224 RMSE: 22.81
Df Residuals: 4222 MAE: 18.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.9370 1.2199 0.001 38.4599 43.1328
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 256 · nethermind
nobs 1177
R² 0.8682
coef (ms) 7.811e-07
p-value 1.00e-03
95% CI [7.596e-07, 7.998e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 1177 RMSE: 9.11
Df Residuals: 1175 MAE: 7.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.7527 0.9264 0.001 15.0384 18.6885
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 256 · reth
nobs 99
R² 0.8494
coef (ms) 5.189e-07
p-value 1.00e-03
95% CI [4.771e-07, 5.642e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.848
No. Observations: 99 RMSE: 6.54
Df Residuals: 97 MAE: 5.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.8273 2.2090 0.001 9.4495 17.8553
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 32 · besu
nobs 3773
R² 0.5671
coef (ms) 3.988e-06
p-value 1.00e-03
95% CI [3.873e-06, 4.101e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.567
Model: NNLS Adj. R-squared: 0.567
No. Observations: 3773 RMSE: 104.29
Df Residuals: 3771 MAE: 92.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 108.6395 5.2836 0.001 98.6452 119.1114
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 32 · erigon
nobs 253
R² 0.6241
coef (ms) 1.416e-06
p-value 1.00e-03
95% CI [1.206e-06, 1.53e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.624
Model: NNLS Adj. R-squared: 0.623
No. Observations: 253 RMSE: 32.89
Df Residuals: 251 MAE: 10.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.1563 10.5102 0.001 17.2272 55.5464
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 32 · ethrex
nobs 1606
R² 0.7922
coef (ms) 5.287e-07
p-value 1.00e-03
95% CI [5.148e-07, 5.413e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 1606 RMSE: 8.10
Df Residuals: 1604 MAE: 6.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.8310 0.5837 0.001 11.7367 14.0353
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 32 · geth
nobs 4224
R² 0.8257
coef (ms) 1.614e-06
p-value 1.00e-03
95% CI [1.588e-06, 1.639e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 4224 RMSE: 22.19
Df Residuals: 4222 MAE: 17.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.5185 1.2680 0.001 39.1376 44.0603
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 32 · nethermind
nobs 1177
R² 0.8485
coef (ms) 7.722e-07
p-value 1.00e-03
95% CI [7.493e-07, 7.94e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.848
No. Observations: 1177 RMSE: 9.77
Df Residuals: 1175 MAE: 7.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.6049 1.1441 0.001 15.5017 19.9304
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATASIZE · test_calldatasize · combo 32 · reth
nobs 99
R² 0.8222
coef (ms) 5.329e-07
p-value 1.00e-03
95% CI [4.867e-07, 5.788e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.822
Model: NNLS Adj. R-squared: 0.820
No. Observations: 99 RMSE: 7.42
Df Residuals: 97 MAE: 6.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.3869 2.4154 0.001 8.7868 18.1286
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 0 · besu
nobs 3773
R² 0.4027
coef (ms) 5.614e-06
p-value 1.00e-03
95% CI [5.392e-06, 5.823e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.403
Model: NNLS Adj. R-squared: 0.403
No. Observations: 3773 RMSE: 107.94
Df Residuals: 3771 MAE: 97.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 80.6707 5.0316 0.001 70.3705 90.9739
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 0 · erigon
nobs 253
R² 0.4238
coef (ms) 1.697e-06
p-value 1.00e-03
95% CI [1.366e-06, 1.905e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.424
Model: NNLS Adj. R-squared: 0.422
No. Observations: 253 RMSE: 31.25
Df Residuals: 251 MAE: 9.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.8509 9.1445 0.001 18.7022 50.9779
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 0 · ethrex
nobs 1606
R² 0.8035
coef (ms) 9.498e-07
p-value 1.00e-03
95% CI [9.262e-07, 9.75e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 1606 RMSE: 7.42
Df Residuals: 1604 MAE: 5.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6138 0.5961 0.001 11.4383 13.7967
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 0 · geth
nobs 4224
R² 0.6991
coef (ms) 2.988e-06
p-value 1.00e-03
95% CI [2.924e-06, 3.05e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.699
Model: NNLS Adj. R-squared: 0.699
No. Observations: 4224 RMSE: 30.95
Df Residuals: 4222 MAE: 19.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.8975 1.6578 0.001 40.6420 47.3094
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 0 · nethermind
nobs 1177
R² 0.5872
coef (ms) 7.879e-07
p-value 1.00e-03
95% CI [7.556e-07, 8.214e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.587
Model: NNLS Adj. R-squared: 0.587
No. Observations: 1177 RMSE: 10.43
Df Residuals: 1175 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.6290 0.7979 0.001 8.0173 11.2043
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 0 · reth
nobs 99
R² 0.8573
coef (ms) 9.139e-07
p-value 1.00e-03
95% CI [8.341e-07, 9.867e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.857
Model: NNLS Adj. R-squared: 0.856
No. Observations: 99 RMSE: 5.89
Df Residuals: 97 MAE: 4.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.6380 1.8806 0.001 8.2156 15.6456
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 1024 · besu
nobs 3773
R² 0.4011
coef (ms) 5.641e-06
p-value 1.00e-03
95% CI [5.426e-06, 5.858e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.401
Model: NNLS Adj. R-squared: 0.401
No. Observations: 3773 RMSE: 108.83
Df Residuals: 3771 MAE: 97.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 80.1308 5.1601 0.001 69.9935 90.4230
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 1024 · erigon
nobs 253
R² 0.2295
coef (ms) 1.589e-06
p-value 1.00e-03
95% CI [1.14e-06, 1.905e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.230
Model: NNLS Adj. R-squared: 0.226
No. Observations: 253 RMSE: 45.96
Df Residuals: 251 MAE: 14.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.2144 12.3601 0.001 18.5759 68.1160
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 1024 · ethrex
nobs 1606
R² 0.7717
coef (ms) 9.136e-07
p-value 1.00e-03
95% CI [8.884e-07, 9.403e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.772
Model: NNLS Adj. R-squared: 0.772
No. Observations: 1606 RMSE: 7.84
Df Residuals: 1604 MAE: 5.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.0413 0.7115 0.001 12.7118 15.3646
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 1024 · geth
nobs 4224
R² 0.702
coef (ms) 3.491e-06
p-value 1.00e-03
95% CI [3.423e-06, 3.567e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.702
Model: NNLS Adj. R-squared: 0.702
No. Observations: 4224 RMSE: 35.92
Df Residuals: 4222 MAE: 25.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.6682 1.8464 0.001 52.9925 60.1439
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 1024 · nethermind
nobs 1177
R² 0.7166
coef (ms) 7.349e-07
p-value 1.00e-03
95% CI [6.983e-07, 7.67e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.717
Model: NNLS Adj. R-squared: 0.716
No. Observations: 1177 RMSE: 7.30
Df Residuals: 1175 MAE: 4.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.4081 0.8926 0.001 10.8597 14.4293
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 1024 · reth
nobs 99
R² 0.8445
coef (ms) 8.959e-07
p-value 1.00e-03
95% CI [8.151e-07, 9.798e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.844
Model: NNLS Adj. R-squared: 0.843
No. Observations: 99 RMSE: 6.07
Df Residuals: 97 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.2940 1.9762 0.001 8.5749 16.2785
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 256 · besu
nobs 3773
R² 0.3992
coef (ms) 5.612e-06
p-value 1.00e-03
95% CI [5.373e-06, 5.816e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.399
Model: NNLS Adj. R-squared: 0.399
No. Observations: 3773 RMSE: 108.70
Df Residuals: 3771 MAE: 97.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 81.0149 5.3544 0.001 71.7028 92.3172
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 256 · erigon
nobs 253
R² 0.9
coef (ms) 1.885e-06
p-value 1.00e-03
95% CI [1.803e-06, 1.971e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.900
Model: NNLS Adj. R-squared: 0.900
No. Observations: 253 RMSE: 9.92
Df Residuals: 251 MAE: 6.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.6783 2.0669 0.001 14.4432 22.6821
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 256 · ethrex
nobs 1606
R² 0.7961
coef (ms) 9.652e-07
p-value 1.00e-03
95% CI [9.397e-07, 9.916e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.796
Model: NNLS Adj. R-squared: 0.796
No. Observations: 1606 RMSE: 7.71
Df Residuals: 1604 MAE: 5.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.1639 0.6326 0.001 10.9041 13.3206
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 256 · geth
nobs 4224
R² 0.7034
coef (ms) 3.442e-06
p-value 1.00e-03
95% CI [3.373e-06, 3.509e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.703
Model: NNLS Adj. R-squared: 0.703
No. Observations: 4224 RMSE: 35.28
Df Residuals: 4222 MAE: 25.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 57.9128 1.7464 0.001 54.5931 61.3889
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 256 · nethermind
nobs 1177
R² 0.6451
coef (ms) 7.662e-07
p-value 1.00e-03
95% CI [7.335e-07, 8.04e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.645
Model: NNLS Adj. R-squared: 0.645
No. Observations: 1177 RMSE: 8.97
Df Residuals: 1175 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.5841 0.8718 0.001 8.8608 12.2594
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 256 · reth
nobs 99
R² 0.8433
coef (ms) 9.066e-07
p-value 1.00e-03
95% CI [8.262e-07, 9.909e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.842
No. Observations: 99 RMSE: 6.17
Df Residuals: 97 MAE: 5.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.5603 2.1770 0.001 7.4632 15.6537
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 32 · besu
nobs 3773
R² 0.3972
coef (ms) 5.662e-06
p-value 1.00e-03
95% CI [5.432e-06, 5.899e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.397
Model: NNLS Adj. R-squared: 0.397
No. Observations: 3773 RMSE: 110.13
Df Residuals: 3771 MAE: 99.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 80.8494 5.4527 0.001 70.4649 91.5970
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 32 · erigon
nobs 253
R² 0.8881
coef (ms) 1.857e-06
p-value 1.00e-03
95% CI [1.769e-06, 1.937e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.888
Model: NNLS Adj. R-squared: 0.888
No. Observations: 253 RMSE: 10.41
Df Residuals: 251 MAE: 7.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.2329 2.1064 0.001 16.3289 24.7735
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 32 · ethrex
nobs 1606
R² 0.8091
coef (ms) 9.376e-07
p-value 1.00e-03
95% CI [9.149e-07, 9.6e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.809
No. Observations: 1606 RMSE: 7.19
Df Residuals: 1604 MAE: 5.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.4193 0.5670 0.001 11.3671 13.6377
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 32 · geth
nobs 4224
R² 0.676
coef (ms) 2.911e-06
p-value 1.00e-03
95% CI [2.842e-06, 2.972e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.676
Model: NNLS Adj. R-squared: 0.676
No. Observations: 4224 RMSE: 31.82
Df Residuals: 4222 MAE: 19.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.5635 1.7143 0.001 45.2567 52.2091
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 32 · nethermind
nobs 1177
R² 0.7032
coef (ms) 7.474e-07
p-value 1.00e-03
95% CI [7.127e-07, 7.805e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.703
Model: NNLS Adj. R-squared: 0.703
No. Observations: 1177 RMSE: 7.67
Df Residuals: 1175 MAE: 4.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.0550 0.9264 0.001 10.3452 13.8989
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATASIZE · test_returndatasize_nonzero · combo 32 · reth
nobs 99
R² 0.8777
coef (ms) 9.06e-07
p-value 1.00e-03
95% CI [8.359e-07, 9.807e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.876
No. Observations: 99 RMSE: 5.34
Df Residuals: 97 MAE: 4.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1720 1.9081 0.001 7.2958 14.9427
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_0 · besu
nobs 3773
R² 0.5747
coef (ms) 1.603e-05
p-value 1.00e-03
95% CI [1.56e-05, 1.646e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.575
Model: NNLS Adj. R-squared: 0.575
No. Observations: 3773 RMSE: 79.15
Df Residuals: 3771 MAE: 65.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.5957 3.8779 0.001 81.9196 97.0030
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_0 · erigon
nobs 253
R² 0.8787
coef (ms) 7.035e-06
p-value 1.00e-03
95% CI [6.754e-06, 7.314e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.879
Model: NNLS Adj. R-squared: 0.878
No. Observations: 253 RMSE: 15.00
Df Residuals: 251 MAE: 10.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.5462 3.0593 0.001 15.9403 27.7824
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_0 · ethrex
nobs 1606
R² 0.8127
coef (ms) 2.376e-06
p-value 1.00e-03
95% CI [2.318e-06, 2.442e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.813
No. Observations: 1606 RMSE: 6.55
Df Residuals: 1604 MAE: 5.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.4068 0.5710 0.001 11.2387 13.4344
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_0 · geth
nobs 4224
R² 0.8115
coef (ms) 1.086e-05
p-value 1.00e-03
95% CI [1.07e-05, 1.104e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.811
No. Observations: 4224 RMSE: 30.06
Df Residuals: 4222 MAE: 23.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.6540 1.6930 0.001 57.1307 63.9808
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_0 · nethermind
nobs 1177
R² 0.8473
coef (ms) 3.045e-06
p-value 1.00e-03
95% CI [2.957e-06, 3.131e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.847
Model: NNLS Adj. R-squared: 0.847
No. Observations: 1177 RMSE: 7.42
Df Residuals: 1175 MAE: 5.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.3534 0.8220 0.001 18.7225 22.0052
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_0 · reth
nobs 99
R² 0.8091
coef (ms) 1.996e-06
p-value 1.00e-03
95% CI [1.806e-06, 2.199e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.807
No. Observations: 99 RMSE: 5.57
Df Residuals: 97 MAE: 4.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.6947 1.7857 0.001 6.1736 13.0163
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_1024 · besu
nobs 3773
R² 0.5862
coef (ms) 1.625e-05
p-value 1.00e-03
95% CI [1.578e-05, 1.669e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.586
Model: NNLS Adj. R-squared: 0.586
No. Observations: 3773 RMSE: 78.37
Df Residuals: 3771 MAE: 65.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 82.9292 4.0296 0.001 75.1203 90.6952
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_1024 · erigon
nobs 253
R² 0.9347
coef (ms) 7.094e-06
p-value 1.00e-03
95% CI [6.871e-06, 7.307e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.935
Model: NNLS Adj. R-squared: 0.934
No. Observations: 253 RMSE: 10.76
Df Residuals: 251 MAE: 9.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.6984 2.2100 0.001 14.6380 23.0272
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_1024 · ethrex
nobs 1606
R² 0.8085
coef (ms) 2.315e-06
p-value 1.00e-03
95% CI [2.256e-06, 2.382e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.808
No. Observations: 1606 RMSE: 6.47
Df Residuals: 1604 MAE: 5.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.4859 0.5682 0.001 12.3005 14.5386
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_1024 · geth
nobs 4224
R² 0.793
coef (ms) 1.095e-05
p-value 1.00e-03
95% CI [1.076e-05, 1.114e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.793
Model: NNLS Adj. R-squared: 0.793
No. Observations: 4224 RMSE: 32.12
Df Residuals: 4222 MAE: 24.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.6410 1.9464 0.001 56.0435 63.4110
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_1024 · nethermind
nobs 1177
R² 0.7961
coef (ms) 3.156e-06
p-value 1.00e-03
95% CI [3.065e-06, 3.245e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.796
Model: NNLS Adj. R-squared: 0.796
No. Observations: 1177 RMSE: 9.17
Df Residuals: 1175 MAE: 5.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.0642 0.8774 0.001 15.3752 18.9146
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_1024 · reth
nobs 99
R² 0.7845
coef (ms) 1.867e-06
p-value 1.00e-03
95% CI [1.668e-06, 2.09e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.785
Model: NNLS Adj. R-squared: 0.782
No. Observations: 99 RMSE: 5.62
Df Residuals: 97 MAE: 4.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.6808 1.8108 0.001 7.0806 14.3248
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_10240 · besu
nobs 3773
R² 0.5786
coef (ms) 1.604e-05
p-value 1.00e-03
95% CI [1.561e-05, 1.65e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.579
Model: NNLS Adj. R-squared: 0.578
No. Observations: 3773 RMSE: 78.60
Df Residuals: 3771 MAE: 65.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 84.7820 3.9230 0.001 76.8983 92.0957
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_10240 · erigon
nobs 253
R² 0.3773
coef (ms) 6.062e-06
p-value 1.00e-03
95% CI [4.633e-06, 7.123e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.377
Model: NNLS Adj. R-squared: 0.375
No. Observations: 253 RMSE: 44.71
Df Residuals: 251 MAE: 14.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.1730 14.9900 0.001 17.9145 72.1870
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_10240 · ethrex
nobs 1606
R² 0.8082
coef (ms) 2.375e-06
p-value 1.00e-03
95% CI [2.314e-06, 2.436e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.808
No. Observations: 1606 RMSE: 6.64
Df Residuals: 1604 MAE: 5.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.5747 0.5616 0.001 11.5136 13.6920
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_10240 · geth
nobs 4224
R² 0.7951
coef (ms) 1.085e-05
p-value 1.00e-03
95% CI [1.068e-05, 1.103e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.795
Model: NNLS Adj. R-squared: 0.795
No. Observations: 4224 RMSE: 31.63
Df Residuals: 4222 MAE: 24.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.1001 1.7913 0.001 58.6659 65.4356
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_10240 · nethermind
nobs 1177
R² 0.8322
coef (ms) 3.139e-06
p-value 1.00e-03
95% CI [3.04e-06, 3.226e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 1177 RMSE: 8.09
Df Residuals: 1175 MAE: 5.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.0252 0.9358 0.001 15.3292 18.9488
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_10240 · reth
nobs 99
R² 0.8027
coef (ms) 1.924e-06
p-value 1.00e-03
95% CI [1.703e-06, 2.138e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.801
No. Observations: 99 RMSE: 5.48
Df Residuals: 97 MAE: 4.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.8410 1.8611 0.001 7.2516 14.7654
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_1048576 · besu
nobs 3773
R² 0.5873
coef (ms) 1.605e-05
p-value 1.00e-03
95% CI [1.558e-05, 1.645e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.587
Model: NNLS Adj. R-squared: 0.587
No. Observations: 3773 RMSE: 77.25
Df Residuals: 3771 MAE: 65.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 80.9149 3.8082 0.001 73.9456 88.9686
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_1048576 · erigon
nobs 253
R² 0.2462
coef (ms) 5.818e-06
p-value 1.00e-03
95% CI [4.539e-06, 6.853e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.246
Model: NNLS Adj. R-squared: 0.243
No. Observations: 253 RMSE: 58.46
Df Residuals: 251 MAE: 18.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.6681 14.2688 0.001 25.0041 79.7735
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_1048576 · ethrex
nobs 1606
R² 0.8049
coef (ms) 2.346e-06
p-value 1.00e-03
95% CI [2.281e-06, 2.412e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.805
No. Observations: 1606 RMSE: 6.63
Df Residuals: 1604 MAE: 5.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.1777 0.5733 0.001 12.1046 14.3106
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_1048576 · geth
nobs 4224
R² 0.8132
coef (ms) 1.076e-05
p-value 1.00e-03
95% CI [1.059e-05, 1.093e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.813
No. Observations: 4224 RMSE: 29.61
Df Residuals: 4222 MAE: 23.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.4842 1.7472 0.001 59.1786 65.8910
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_1048576 · nethermind
nobs 1177
R² 0.7577
coef (ms) 3.231e-06
p-value 1.00e-03
95% CI [3.109e-06, 3.394e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.758
Model: NNLS Adj. R-squared: 0.758
No. Observations: 1177 RMSE: 10.49
Df Residuals: 1175 MAE: 5.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.4437 1.1420 0.001 12.9586 17.4610
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_1048576 · reth
nobs 99
R² 0.8479
coef (ms) 1.899e-06
p-value 1.00e-03
95% CI [1.715e-06, 2.086e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.846
No. Observations: 99 RMSE: 4.62
Df Residuals: 97 MAE: 3.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.0818 1.7368 0.001 6.5968 13.5380
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_256 · besu
nobs 3773
R² 0.5517
coef (ms) 1.537e-05
p-value 1.00e-03
95% CI [1.49e-05, 1.583e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.552
Model: NNLS Adj. R-squared: 0.552
No. Observations: 3773 RMSE: 79.56
Df Residuals: 3771 MAE: 68.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.8162 4.1253 0.001 92.6495 109.2098
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_256 · erigon
nobs 253
R² 0.4085
coef (ms) 6.551e-06
p-value 1.00e-03
95% CI [5.485e-06, 7.298e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.409
Model: NNLS Adj. R-squared: 0.406
No. Observations: 253 RMSE: 45.26
Df Residuals: 251 MAE: 13.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.2415 11.3653 0.001 14.7013 57.6723
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_256 · ethrex
nobs 1606
R² 0.8058
coef (ms) 2.299e-06
p-value 1.00e-03
95% CI [2.235e-06, 2.358e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.806
Model: NNLS Adj. R-squared: 0.806
No. Observations: 1606 RMSE: 6.48
Df Residuals: 1604 MAE: 5.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.8682 0.5494 0.001 12.8017 14.9948
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_256 · geth
nobs 4224
R² 0.8173
coef (ms) 1.09e-05
p-value 1.00e-03
95% CI [1.073e-05, 1.106e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.817
No. Observations: 4224 RMSE: 29.59
Df Residuals: 4222 MAE: 23.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.9728 1.7199 0.001 56.6913 63.4528
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_256 · nethermind
nobs 1177
R² 0.8612
coef (ms) 3.179e-06
p-value 1.00e-03
95% CI [3.097e-06, 3.264e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.861
No. Observations: 1177 RMSE: 7.33
Df Residuals: 1175 MAE: 5.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.1198 0.7818 0.001 14.6558 17.6126
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_256 · reth
nobs 99
R² 0.8036
coef (ms) 1.749e-06
p-value 1.00e-03
95% CI [1.575e-06, 1.951e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.802
No. Observations: 99 RMSE: 4.97
Df Residuals: 97 MAE: 3.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.8429 1.6427 0.001 9.5521 15.9017
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_32 · besu
nobs 3773
R² 0.5798
coef (ms) 1.578e-05
p-value 1.00e-03
95% CI [1.535e-05, 1.622e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.580
Model: NNLS Adj. R-squared: 0.580
No. Observations: 3773 RMSE: 77.12
Df Residuals: 3771 MAE: 64.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 86.9733 3.8767 0.001 79.1786 94.4649
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_32 · erigon
nobs 253
R² 0.7042
coef (ms) 6.975e-06
p-value 1.00e-03
95% CI [6.649e-06, 7.224e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.704
Model: NNLS Adj. R-squared: 0.703
No. Observations: 253 RMSE: 25.95
Df Residuals: 251 MAE: 11.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.1082 3.9117 0.001 16.8536 32.3146
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_32 · ethrex
nobs 1606
R² 0.8143
coef (ms) 2.308e-06
p-value 1.00e-03
95% CI [2.251e-06, 2.365e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.814
Model: NNLS Adj. R-squared: 0.814
No. Observations: 1606 RMSE: 6.33
Df Residuals: 1604 MAE: 5.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.6137 0.5234 0.001 12.6198 14.6272
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_32 · geth
nobs 4224
R² 0.8071
coef (ms) 1.096e-05
p-value 1.00e-03
95% CI [1.079e-05, 1.114e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.807
Model: NNLS Adj. R-squared: 0.807
No. Observations: 4224 RMSE: 30.77
Df Residuals: 4222 MAE: 23.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.1962 1.7470 0.001 55.8128 62.4757
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_32 · nethermind
nobs 1177
R² 0.7749
coef (ms) 3.269e-06
p-value 1.00e-03
95% CI [3.162e-06, 3.403e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.775
Model: NNLS Adj. R-squared: 0.775
No. Observations: 1177 RMSE: 10.12
Df Residuals: 1175 MAE: 5.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.8928 0.9969 0.001 12.7991 16.6350
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 0_32 · reth
nobs 99
R² 0.8055
coef (ms) 1.866e-06
p-value 1.00e-03
95% CI [1.668e-06, 2.057e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.803
No. Observations: 99 RMSE: 5.27
Df Residuals: 97 MAE: 4.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.2467 1.9221 0.001 7.6500 15.1462
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_0 · besu
nobs 3773
R² 0.9658
coef (ms) 8.315e-05
p-value 1.00e-03
95% CI [8.263e-05, 8.366e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 3773 RMSE: 9.23
Df Residuals: 3771 MAE: 7.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.5355 0.4639 0.001 9.5665 11.4100
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_0 · erigon
nobs 253
R² 0.8744
coef (ms) 1.007e-05
p-value 1.00e-03
95% CI [9.6e-06, 1.054e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.874
Model: NNLS Adj. R-squared: 0.874
No. Observations: 253 RMSE: 2.25
Df Residuals: 251 MAE: 1.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.8808 0.4811 0.001 8.9551 10.9448
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_0 · ethrex
nobs 1606
R² 0.7958
coef (ms) 5.686e-06
p-value 1.00e-03
95% CI [5.529e-06, 5.836e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.796
Model: NNLS Adj. R-squared: 0.796
No. Observations: 1606 RMSE: 1.70
Df Residuals: 1604 MAE: 1.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.4185 0.1382 0.001 4.1548 4.6897
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_0 · geth
nobs 4224
R² 0.7007
coef (ms) 1.484e-05
p-value 1.00e-03
95% CI [1.455e-05, 1.513e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.701
Model: NNLS Adj. R-squared: 0.701
No. Observations: 4224 RMSE: 5.72
Df Residuals: 4222 MAE: 3.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.4046 0.2840 0.001 8.8598 9.9910
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_0 · nethermind
nobs 1177
R² 0.8158
coef (ms) 8.817e-06
p-value 1.00e-03
95% CI [8.572e-06, 9.068e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.816
Model: NNLS Adj. R-squared: 0.816
No. Observations: 1177 RMSE: 2.47
Df Residuals: 1175 MAE: 1.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2275 0.2372 0.001 5.7661 6.6869
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_0 · reth
nobs 99
R² 0.6057
coef (ms) 4.588e-06
p-value 1.00e-03
95% CI [3.843e-06, 5.358e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.606
Model: NNLS Adj. R-squared: 0.602
No. Observations: 99 RMSE: 2.18
Df Residuals: 97 MAE: 1.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.8777 0.7190 0.001 3.5107 6.3360
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_1024 · besu
nobs 3773
R² 0.965
coef (ms) 8.309e-05
p-value 1.00e-03
95% CI [8.258e-05, 8.359e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 3773 RMSE: 9.33
Df Residuals: 3771 MAE: 7.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.5305 0.4612 0.001 9.6455 11.4363
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_1024 · erigon
nobs 253
R² 0.8995
coef (ms) 1.009e-05
p-value 1.00e-03
95% CI [9.611e-06, 1.056e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.900
Model: NNLS Adj. R-squared: 0.899
No. Observations: 253 RMSE: 1.99
Df Residuals: 251 MAE: 1.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.4054 0.4652 0.001 8.4777 10.3552
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_1024 · ethrex
nobs 1606
R² 0.763
coef (ms) 5.594e-06
p-value 1.00e-03
95% CI [5.436e-06, 5.748e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.763
Model: NNLS Adj. R-squared: 0.763
No. Observations: 1606 RMSE: 1.84
Df Residuals: 1604 MAE: 1.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.5754 0.1407 0.001 4.2944 4.8415
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_1024 · geth
nobs 4224
R² 0.6801
coef (ms) 1.471e-05
p-value 1.00e-03
95% CI [1.441e-05, 1.504e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.680
Model: NNLS Adj. R-squared: 0.680
No. Observations: 4224 RMSE: 5.95
Df Residuals: 4222 MAE: 4.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.5746 0.2976 0.001 8.9746 10.1807
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_1024 · nethermind
nobs 1177
R² 0.8341
coef (ms) 8.61e-06
p-value 1.00e-03
95% CI [8.365e-06, 8.828e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 1177 RMSE: 2.26
Df Residuals: 1175 MAE: 1.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.5829 0.2248 0.001 6.1752 7.0254
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_1024 · reth
nobs 99
R² 0.6454
coef (ms) 5.348e-06
p-value 1.00e-03
95% CI [4.691e-06, 6.048e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.645
Model: NNLS Adj. R-squared: 0.642
No. Observations: 99 RMSE: 2.34
Df Residuals: 97 MAE: 1.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.6900 0.6407 0.001 2.4576 4.9774
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_10240 · besu
nobs 3773
R² 0.965
coef (ms) 8.304e-05
p-value 1.00e-03
95% CI [8.258e-05, 8.355e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 3773 RMSE: 9.33
Df Residuals: 3771 MAE: 7.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.6706 0.4525 0.001 9.7624 11.4829
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_10240 · erigon
nobs 253
R² 0.8769
coef (ms) 9.723e-06
p-value 1.00e-03
95% CI [9.314e-06, 1.016e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.876
No. Observations: 253 RMSE: 2.15
Df Residuals: 251 MAE: 1.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.3796 0.4201 0.001 9.5467 11.1520
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_10240 · ethrex
nobs 1606
R² 0.7957
coef (ms) 5.721e-06
p-value 1.00e-03
95% CI [5.575e-06, 5.862e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.796
Model: NNLS Adj. R-squared: 0.796
No. Observations: 1606 RMSE: 1.71
Df Residuals: 1604 MAE: 1.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.3860 0.1347 0.001 4.1274 4.6421
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_10240 · geth
nobs 4224
R² 0.6592
coef (ms) 1.496e-05
p-value 1.00e-03
95% CI [1.463e-05, 1.532e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.659
Model: NNLS Adj. R-squared: 0.659
No. Observations: 4224 RMSE: 6.35
Df Residuals: 4222 MAE: 4.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.5091 0.3182 0.001 8.8643 10.1309
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_10240 · nethermind
nobs 1177
R² 0.6984
coef (ms) 8.752e-06
p-value 1.00e-03
95% CI [8.438e-06, 9.045e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.698
Model: NNLS Adj. R-squared: 0.698
No. Observations: 1177 RMSE: 3.39
Df Residuals: 1175 MAE: 1.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.4679 0.3518 0.001 5.8522 7.1665
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_10240 · reth
nobs 99
R² 0.5693
coef (ms) 4.737e-06
p-value 1.00e-03
95% CI [3.973e-06, 5.553e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.569
Model: NNLS Adj. R-squared: 0.565
No. Observations: 99 RMSE: 2.43
Df Residuals: 97 MAE: 1.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.7586 0.7123 0.001 3.4150 6.1818
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_1048576 · besu
nobs 3773
R² 0.9651
coef (ms) 8.321e-05
p-value 1.00e-03
95% CI [8.27e-05, 8.372e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 3773 RMSE: 9.34
Df Residuals: 3771 MAE: 7.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.3699 0.4641 0.001 9.5098 11.2587
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_1048576 · erigon
nobs 253
R² 0.8761
coef (ms) 9.918e-06
p-value 1.00e-03
95% CI [9.403e-06, 1.041e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.876
Model: NNLS Adj. R-squared: 0.876
No. Observations: 253 RMSE: 2.20
Df Residuals: 251 MAE: 1.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9317 0.5183 0.001 8.9569 10.9182
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_1048576 · ethrex
nobs 1606
R² 0.7782
coef (ms) 5.614e-06
p-value 1.00e-03
95% CI [5.454e-06, 5.769e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.778
Model: NNLS Adj. R-squared: 0.778
No. Observations: 1606 RMSE: 1.77
Df Residuals: 1604 MAE: 1.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.6334 0.1412 0.001 4.3707 4.9121
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_1048576 · geth
nobs 4224
R² 0.6658
coef (ms) 1.449e-05
p-value 1.00e-03
95% CI [1.416e-05, 1.482e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.666
Model: NNLS Adj. R-squared: 0.666
No. Observations: 4224 RMSE: 6.06
Df Residuals: 4222 MAE: 4.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.2780 0.3142 0.001 9.6630 10.8668
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_1048576 · nethermind
nobs 1177
R² 0.2477
coef (ms) 8.754e-06
p-value 1.00e-03
95% CI [8.387e-06, 9.141e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.248
Model: NNLS Adj. R-squared: 0.247
No. Observations: 1177 RMSE: 9.00
Df Residuals: 1175 MAE: 2.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.7631 0.4335 0.001 6.0332 7.6828
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_1048576 · reth
nobs 99
R² 0.632
coef (ms) 5.402e-06
p-value 1.00e-03
95% CI [4.67e-06, 6.229e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.632
Model: NNLS Adj. R-squared: 0.628
No. Observations: 99 RMSE: 2.43
Df Residuals: 97 MAE: 1.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.4308 0.6898 0.001 2.0152 4.7710
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_256 · besu
nobs 3773
R² 0.9648
coef (ms) 8.314e-05
p-value 1.00e-03
95% CI [8.264e-05, 8.364e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 3773 RMSE: 9.37
Df Residuals: 3771 MAE: 7.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.4020 0.4489 0.001 9.5221 11.2842
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_256 · erigon
nobs 253
R² 0.8653
coef (ms) 1.04e-05
p-value 1.00e-03
95% CI [9.858e-06, 1.088e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.865
No. Observations: 253 RMSE: 2.42
Df Residuals: 251 MAE: 1.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2364 0.4639 0.001 8.4135 10.2020
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_256 · ethrex
nobs 1606
R² 0.7923
coef (ms) 5.671e-06
p-value 1.00e-03
95% CI [5.53e-06, 5.826e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 1606 RMSE: 1.71
Df Residuals: 1604 MAE: 1.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.4573 0.1343 0.001 4.1934 4.7080
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_256 · geth
nobs 4224
R² 0.668
coef (ms) 1.477e-05
p-value 1.00e-03
95% CI [1.442e-05, 1.508e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.668
Model: NNLS Adj. R-squared: 0.668
No. Observations: 4224 RMSE: 6.14
Df Residuals: 4222 MAE: 4.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.6395 0.3077 0.001 9.0506 10.2694
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_256 · nethermind
nobs 1177
R² 0.6611
coef (ms) 8.814e-06
p-value 1.00e-03
95% CI [8.506e-06, 9.151e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.661
Model: NNLS Adj. R-squared: 0.661
No. Observations: 1177 RMSE: 3.72
Df Residuals: 1175 MAE: 1.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.3280 0.2839 0.001 5.7509 6.8813
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_256 · reth
nobs 99
R² 0.722
coef (ms) 5.433e-06
p-value 1.00e-03
95% CI [4.752e-06, 6.156e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.722
Model: NNLS Adj. R-squared: 0.719
No. Observations: 99 RMSE: 1.99
Df Residuals: 97 MAE: 1.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.2800 0.6035 0.001 2.0994 4.4513
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_32 · besu
nobs 3773
R² 0.965
coef (ms) 8.304e-05
p-value 1.00e-03
95% CI [8.253e-05, 8.352e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 3773 RMSE: 9.32
Df Residuals: 3771 MAE: 7.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.5650 0.4512 0.001 9.7355 11.4295
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_32 · erigon
nobs 253
R² 0.8963
coef (ms) 1.03e-05
p-value 1.00e-03
95% CI [9.807e-06, 1.075e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.896
No. Observations: 253 RMSE: 2.07
Df Residuals: 251 MAE: 1.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.1422 0.4652 0.001 8.2705 10.0615
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_32 · ethrex
nobs 1606
R² 0.8029
coef (ms) 5.593e-06
p-value 1.00e-03
95% CI [5.445e-06, 5.74e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 1606 RMSE: 1.63
Df Residuals: 1604 MAE: 1.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.6148 0.1295 0.001 4.3527 4.8737
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_32 · geth
nobs 4224
R² 0.6756
coef (ms) 1.436e-05
p-value 1.00e-03
95% CI [1.406e-05, 1.466e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.676
Model: NNLS Adj. R-squared: 0.676
No. Observations: 4224 RMSE: 5.87
Df Residuals: 4222 MAE: 4.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.1177 0.2949 0.001 9.5504 10.6801
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_32 · nethermind
nobs 1177
R² 0.1583
coef (ms) 8.179e-06
p-value 1.00e-03
95% CI [7.192e-06, 8.867e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.158
Model: NNLS Adj. R-squared: 0.158
No. Observations: 1177 RMSE: 11.12
Df Residuals: 1175 MAE: 2.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.8861 1.1204 0.001 6.1293 10.3493
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 1024_32 · reth
nobs 99
R² 0.5714
coef (ms) 4.965e-06
p-value 1.00e-03
95% CI [4.148e-06, 5.802e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.571
Model: NNLS Adj. R-squared: 0.567
No. Observations: 99 RMSE: 2.54
Df Residuals: 97 MAE: 1.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.8738 0.7717 0.001 2.4106 5.4110
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_0 · besu
nobs 3773
R² 0.7939
coef (ms) 2.589e-05
p-value 1.00e-03
95% CI [2.547e-05, 2.628e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.794
Model: NNLS Adj. R-squared: 0.794
No. Observations: 3773 RMSE: 23.80
Df Residuals: 3771 MAE: 20.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.8541 1.2521 0.001 40.4467 45.3252
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_0 · erigon
nobs 253
R² 0.3748
coef (ms) 9.189e-06
p-value 1.00e-03
95% CI [8.012e-06, 1.131e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.375
Model: NNLS Adj. R-squared: 0.372
No. Observations: 253 RMSE: 21.41
Df Residuals: 251 MAE: 5.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1122 3.8831 0.013 2.0830 16.5369
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_0 · ethrex
nobs 1606
R² 0.8077
coef (ms) 3.683e-06
p-value 1.00e-03
95% CI [3.588e-06, 3.776e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.808
No. Observations: 1606 RMSE: 3.24
Df Residuals: 1604 MAE: 2.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.9754 0.2530 0.001 6.4942 7.5012
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_0 · geth
nobs 4224
R² 0.7849
coef (ms) 1.315e-05
p-value 1.00e-03
95% CI [1.293e-05, 1.336e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.785
Model: NNLS Adj. R-squared: 0.785
No. Observations: 4224 RMSE: 12.42
Df Residuals: 4222 MAE: 9.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.0590 0.6593 0.001 18.8172 21.3321
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_0 · nethermind
nobs 1177
R² 0.871
coef (ms) 6.996e-06
p-value 1.00e-03
95% CI [6.83e-06, 7.175e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 1177 RMSE: 4.86
Df Residuals: 1175 MAE: 3.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.6576 0.5028 0.001 9.6218 11.6176
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_0 · reth
nobs 99
R² 0.7659
coef (ms) 3.26e-06
p-value 1.00e-03
95% CI [2.922e-06, 3.597e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.766
Model: NNLS Adj. R-squared: 0.764
No. Observations: 99 RMSE: 3.25
Df Residuals: 97 MAE: 2.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.7278 1.0470 0.001 5.7383 9.8097
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_1024 · besu
nobs 3773
R² 0.8041
coef (ms) 2.612e-05
p-value 1.00e-03
95% CI [2.571e-05, 2.655e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.804
No. Observations: 3773 RMSE: 23.26
Df Residuals: 3771 MAE: 19.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.5845 1.2983 0.001 37.0812 42.0993
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_1024 · erigon
nobs 253
R² 0.3582
coef (ms) 9.178e-06
p-value 1.00e-03
95% CI [7.716e-06, 1.163e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.358
Model: NNLS Adj. R-squared: 0.356
No. Observations: 253 RMSE: 22.17
Df Residuals: 251 MAE: 5.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1198 5.1031 0.034 0.0000 18.2076
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_1024 · ethrex
nobs 1606
R² 0.8059
coef (ms) 3.666e-06
p-value 1.00e-03
95% CI [3.571e-06, 3.761e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.806
Model: NNLS Adj. R-squared: 0.806
No. Observations: 1606 RMSE: 3.25
Df Residuals: 1604 MAE: 2.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.0144 0.2510 0.001 6.5133 7.4990
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_1024 · geth
nobs 4224
R² 0.7948
coef (ms) 1.311e-05
p-value 1.00e-03
95% CI [1.29e-05, 1.333e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.795
Model: NNLS Adj. R-squared: 0.795
No. Observations: 4224 RMSE: 12.02
Df Residuals: 4222 MAE: 9.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.2509 0.6519 0.001 19.0193 21.4877
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_1024 · nethermind
nobs 1177
R² 0.6115
coef (ms) 6.972e-06
p-value 1.00e-03
95% CI [6.627e-06, 7.402e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.612
Model: NNLS Adj. R-squared: 0.611
No. Observations: 1177 RMSE: 10.03
Df Residuals: 1175 MAE: 4.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.2125 1.0663 0.001 9.0738 13.2901
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_1024 · reth
nobs 99
R² 0.7536
coef (ms) 3.552e-06
p-value 1.00e-03
95% CI [3.122e-06, 4.066e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.754
Model: NNLS Adj. R-squared: 0.751
No. Observations: 99 RMSE: 3.66
Df Residuals: 97 MAE: 2.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.3132 1.1987 0.001 3.8077 8.5740
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_10240 · besu
nobs 3773
R² 0.787
coef (ms) 2.585e-05
p-value 1.00e-03
95% CI [2.541e-05, 2.629e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.787
Model: NNLS Adj. R-squared: 0.787
No. Observations: 3773 RMSE: 24.27
Df Residuals: 3771 MAE: 20.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.9793 1.3844 0.001 39.2545 44.6149
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_10240 · erigon
nobs 253
R² 0.9242
coef (ms) 8.27e-06
p-value 1.00e-03
95% CI [7.977e-06, 8.561e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.924
Model: NNLS Adj. R-squared: 0.924
No. Observations: 253 RMSE: 4.27
Df Residuals: 251 MAE: 3.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.4070 0.8987 0.001 12.7077 16.1984
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_10240 · ethrex
nobs 1606
R² 0.809
coef (ms) 3.761e-06
p-value 1.00e-03
95% CI [3.665e-06, 3.856e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.809
No. Observations: 1606 RMSE: 3.30
Df Residuals: 1604 MAE: 2.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.4706 0.2642 0.001 5.9900 6.9853
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_10240 · geth
nobs 4224
R² 0.7873
coef (ms) 1.341e-05
p-value 1.00e-03
95% CI [1.318e-05, 1.361e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.787
Model: NNLS Adj. R-squared: 0.787
No. Observations: 4224 RMSE: 12.57
Df Residuals: 4222 MAE: 9.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.9253 0.6426 0.001 17.7784 20.3494
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_10240 · nethermind
nobs 1177
R² 0.8612
coef (ms) 6.933e-06
p-value 1.00e-03
95% CI [6.761e-06, 7.109e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.861
No. Observations: 1177 RMSE: 5.02
Df Residuals: 1175 MAE: 3.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.8553 0.5188 0.001 9.8819 11.8872
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_10240 · reth
nobs 99
R² 0.6902
coef (ms) 3.515e-06
p-value 1.00e-03
95% CI [3.04e-06, 3.995e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.690
Model: NNLS Adj. R-squared: 0.687
No. Observations: 99 RMSE: 4.25
Df Residuals: 97 MAE: 3.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.8370 1.3966 0.001 4.2207 9.7020
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_1048576 · besu
nobs 3773
R² 0.8037
coef (ms) 2.62e-05
p-value 1.00e-03
95% CI [2.58e-05, 2.66e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.804
No. Observations: 3773 RMSE: 23.36
Df Residuals: 3771 MAE: 19.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.2776 1.2418 0.001 36.8892 41.6693
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_1048576 · erigon
nobs 253
R² 0.1747
coef (ms) 6.652e-06
p-value 1.00e-03
95% CI [3.414e-06, 8.286e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.175
Model: NNLS Adj. R-squared: 0.171
No. Observations: 253 RMSE: 26.09
Df Residuals: 251 MAE: 5.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.9567 9.9595 0.001 14.8527 48.0281
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_1048576 · ethrex
nobs 1606
R² 0.8
coef (ms) 3.687e-06
p-value 1.00e-03
95% CI [3.582e-06, 3.786e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.800
No. Observations: 1606 RMSE: 3.33
Df Residuals: 1604 MAE: 2.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.8424 0.2666 0.001 6.3050 7.3898
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_1048576 · geth
nobs 4224
R² 0.7869
coef (ms) 1.323e-05
p-value 1.00e-03
95% CI [1.302e-05, 1.344e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.787
Model: NNLS Adj. R-squared: 0.787
No. Observations: 4224 RMSE: 12.42
Df Residuals: 4222 MAE: 9.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.0178 0.6321 0.001 18.7611 21.1977
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_1048576 · nethermind
nobs 1177
R² 0.8487
coef (ms) 6.945e-06
p-value 1.00e-03
95% CI [6.741e-06, 7.121e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.849
No. Observations: 1177 RMSE: 5.29
Df Residuals: 1175 MAE: 4.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.9700 0.5398 0.001 9.9486 12.0612
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_1048576 · reth
nobs 99
R² 0.5686
coef (ms) 3.029e-06
p-value 1.00e-03
95% CI [2.55e-06, 3.492e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.569
Model: NNLS Adj. R-squared: 0.564
No. Observations: 99 RMSE: 4.76
Df Residuals: 97 MAE: 3.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.4135 1.6183 0.001 7.5465 13.6949
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_256 · besu
nobs 3773
R² 0.8048
coef (ms) 2.627e-05
p-value 1.00e-03
95% CI [2.586e-05, 2.669e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.805
No. Observations: 3773 RMSE: 23.34
Df Residuals: 3771 MAE: 19.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.7069 1.2685 0.001 36.3489 41.2910
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_256 · erigon
nobs 253
R² 0.9237
coef (ms) 8.118e-06
p-value 1.00e-03
95% CI [7.785e-06, 8.465e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.924
Model: NNLS Adj. R-squared: 0.923
No. Observations: 253 RMSE: 4.21
Df Residuals: 251 MAE: 3.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.6607 1.0682 0.001 13.4941 17.7162
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_256 · ethrex
nobs 1606
R² 0.8009
coef (ms) 3.683e-06
p-value 1.00e-03
95% CI [3.582e-06, 3.783e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.801
Model: NNLS Adj. R-squared: 0.801
No. Observations: 1606 RMSE: 3.31
Df Residuals: 1604 MAE: 2.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.8402 0.2661 0.001 6.3203 7.3522
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_256 · geth
nobs 4224
R² 0.7882
coef (ms) 1.312e-05
p-value 1.00e-03
95% CI [1.291e-05, 1.334e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.788
Model: NNLS Adj. R-squared: 0.788
No. Observations: 4224 RMSE: 12.27
Df Residuals: 4222 MAE: 9.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.3527 0.6313 0.001 19.1373 21.6371
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_256 · nethermind
nobs 1177
R² 0.8579
coef (ms) 6.737e-06
p-value 1.00e-03
95% CI [6.565e-06, 6.913e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.858
No. Observations: 1177 RMSE: 4.95
Df Residuals: 1175 MAE: 3.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.8715 0.5178 0.001 10.8433 12.8534
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_256 · reth
nobs 99
R² 0.7234
coef (ms) 3.74e-06
p-value 1.00e-03
95% CI [3.294e-06, 4.2e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.723
Model: NNLS Adj. R-squared: 0.721
No. Observations: 99 RMSE: 4.17
Df Residuals: 97 MAE: 3.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.8085 1.2691 0.001 3.4011 8.3578
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_32 · besu
nobs 3773
R² 0.8025
coef (ms) 2.615e-05
p-value 1.00e-03
95% CI [2.575e-05, 2.654e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.802
Model: NNLS Adj. R-squared: 0.802
No. Observations: 3773 RMSE: 23.41
Df Residuals: 3771 MAE: 19.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.3565 1.2130 0.001 37.0473 41.7175
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_32 · erigon
nobs 253
R² 0.1949
coef (ms) 7.058e-06
p-value 1.00e-03
95% CI [4.977e-06, 8.348e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.195
Model: NNLS Adj. R-squared: 0.192
No. Observations: 253 RMSE: 25.88
Df Residuals: 251 MAE: 6.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.1460 6.5992 0.001 14.5574 39.8870
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_32 · ethrex
nobs 1606
R² 0.7992
coef (ms) 3.571e-06
p-value 1.00e-03
95% CI [3.475e-06, 3.665e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.799
Model: NNLS Adj. R-squared: 0.799
No. Observations: 1606 RMSE: 3.23
Df Residuals: 1604 MAE: 2.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.4727 0.2699 0.001 6.9490 7.9896
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_32 · geth
nobs 4224
R² 0.7915
coef (ms) 1.309e-05
p-value 1.00e-03
95% CI [1.289e-05, 1.33e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.791
Model: NNLS Adj. R-squared: 0.791
No. Observations: 4224 RMSE: 12.13
Df Residuals: 4222 MAE: 9.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.2120 0.6222 0.001 19.0233 21.4345
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_32 · nethermind
nobs 1177
R² 0.8581
coef (ms) 6.896e-06
p-value 1.00e-03
95% CI [6.706e-06, 7.068e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.858
No. Observations: 1177 RMSE: 5.06
Df Residuals: 1175 MAE: 3.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1733 0.5007 0.001 10.2116 12.1755
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 256_32 · reth
nobs 99
R² 0.69
coef (ms) 3.538e-06
p-value 1.00e-03
95% CI [3.051e-06, 3.976e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.690
Model: NNLS Adj. R-squared: 0.687
No. Observations: 99 RMSE: 4.28
Df Residuals: 97 MAE: 2.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.1258 1.4416 0.001 4.6198 10.1473
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_0 · besu
nobs 3773
R² 0.5867
coef (ms) 2.316e-05
p-value 1.00e-03
95% CI [2.256e-05, 2.38e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.587
Model: NNLS Adj. R-squared: 0.587
No. Observations: 3773 RMSE: 87.70
Df Residuals: 3771 MAE: 75.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 105.3794 4.3388 0.001 96.7703 113.5193
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_0 · erigon
nobs 253
R² 0.3617
coef (ms) 6.903e-06
p-value 1.00e-03
95% CI [5.653e-06, 7.754e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.362
Model: NNLS Adj. R-squared: 0.359
No. Observations: 253 RMSE: 41.37
Df Residuals: 251 MAE: 11.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.3445 10.5241 0.001 18.6580 57.1043
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_0 · ethrex
nobs 1606
R² 0.8123
coef (ms) 3.081e-06
p-value 1.00e-03
95% CI [3.003e-06, 3.157e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.812
Model: NNLS Adj. R-squared: 0.812
No. Observations: 1606 RMSE: 6.68
Df Residuals: 1604 MAE: 5.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.0324 0.5615 0.001 13.0381 15.1786
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_0 · geth
nobs 4224
R² 0.8034
coef (ms) 1.159e-05
p-value 1.00e-03
95% CI [1.141e-05, 1.178e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 4224 RMSE: 25.88
Df Residuals: 4222 MAE: 20.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.0329 1.4457 0.001 45.2626 50.7714
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_0 · nethermind
nobs 1177
R² 0.8354
coef (ms) 5.694e-06
p-value 1.00e-03
95% CI [5.549e-06, 5.841e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.835
No. Observations: 1177 RMSE: 11.40
Df Residuals: 1175 MAE: 7.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.2327 1.0454 0.001 18.1964 22.2148
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_0 · reth
nobs 99
R² 0.7425
coef (ms) 2.828e-06
p-value 1.00e-03
95% CI [2.508e-06, 3.152e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.742
Model: NNLS Adj. R-squared: 0.740
No. Observations: 99 RMSE: 7.51
Df Residuals: 97 MAE: 5.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.7565 2.2196 0.001 9.3814 17.9668
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_1024 · besu
nobs 3773
R² 0.5878
coef (ms) 2.36e-05
p-value 1.00e-03
95% CI [2.301e-05, 2.424e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.588
Model: NNLS Adj. R-squared: 0.588
No. Observations: 3773 RMSE: 89.15
Df Residuals: 3771 MAE: 76.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.5953 4.2609 0.001 88.0924 104.8256
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_1024 · erigon
nobs 253
R² 0.3112
coef (ms) 7.311e-06
p-value 1.00e-03
95% CI [6.596e-06, 7.831e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.311
Model: NNLS Adj. R-squared: 0.308
No. Observations: 253 RMSE: 49.07
Df Residuals: 251 MAE: 13.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.0088 7.3489 0.001 17.8188 46.9323
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_1024 · ethrex
nobs 1606
R² 0.8124
coef (ms) 3.093e-06
p-value 1.00e-03
95% CI [3.014e-06, 3.17e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.812
Model: NNLS Adj. R-squared: 0.812
No. Observations: 1606 RMSE: 6.71
Df Residuals: 1604 MAE: 5.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.8523 0.5628 0.001 12.7534 14.9210
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_1024 · geth
nobs 4224
R² 0.8113
coef (ms) 1.146e-05
p-value 1.00e-03
95% CI [1.129e-05, 1.164e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.811
No. Observations: 4224 RMSE: 24.94
Df Residuals: 4222 MAE: 20.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.1468 1.4190 0.001 47.3864 52.8788
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_1024 · nethermind
nobs 1177
R² 0.8285
coef (ms) 5.739e-06
p-value 1.00e-03
95% CI [5.605e-06, 5.886e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.828
Model: NNLS Adj. R-squared: 0.828
No. Observations: 1177 RMSE: 11.78
Df Residuals: 1175 MAE: 7.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.8675 1.0904 0.001 17.6683 21.8853
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_1024 · reth
nobs 99
R² 0.8399
coef (ms) 2.79e-06
p-value 1.00e-03
95% CI [2.568e-06, 3.024e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.838
No. Observations: 99 RMSE: 5.50
Df Residuals: 97 MAE: 4.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.5699 1.7455 0.001 11.1736 17.7826
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_10240 · besu
nobs 3773
R² 0.5953
coef (ms) 2.366e-05
p-value 1.00e-03
95% CI [2.301e-05, 2.426e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.595
Model: NNLS Adj. R-squared: 0.595
No. Observations: 3773 RMSE: 87.99
Df Residuals: 3771 MAE: 75.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 98.3816 4.4828 0.001 90.0471 107.4301
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_10240 · erigon
nobs 253
R² 0.7294
coef (ms) 7.776e-06
p-value 1.00e-03
95% CI [7.506e-06, 8.024e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.729
Model: NNLS Adj. R-squared: 0.728
No. Observations: 253 RMSE: 21.37
Df Residuals: 251 MAE: 8.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.8159 2.3381 0.001 16.7229 25.9495
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_10240 · ethrex
nobs 1606
R² 0.8058
coef (ms) 3.026e-06
p-value 1.00e-03
95% CI [2.943e-06, 3.101e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.806
Model: NNLS Adj. R-squared: 0.806
No. Observations: 1606 RMSE: 6.70
Df Residuals: 1604 MAE: 5.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.0379 0.5650 0.001 13.8578 16.1806
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_10240 · geth
nobs 4224
R² 0.8078
coef (ms) 1.152e-05
p-value 1.00e-03
95% CI [1.133e-05, 1.171e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.808
No. Observations: 4224 RMSE: 25.35
Df Residuals: 4222 MAE: 20.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.4266 1.4525 0.001 46.6716 52.4548
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_10240 · nethermind
nobs 1177
R² 0.7932
coef (ms) 5.784e-06
p-value 1.00e-03
95% CI [5.614e-06, 5.97e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.793
Model: NNLS Adj. R-squared: 0.793
No. Observations: 1177 RMSE: 13.32
Df Residuals: 1175 MAE: 8.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.7784 1.3229 0.001 17.2177 22.3250
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_10240 · reth
nobs 99
R² 0.8091
coef (ms) 2.985e-06
p-value 1.00e-03
95% CI [2.671e-06, 3.328e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.807
No. Observations: 99 RMSE: 6.54
Df Residuals: 97 MAE: 5.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1923 2.2588 0.001 6.7175 15.7471
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_1048576 · besu
nobs 3773
R² 0.5894
coef (ms) 2.364e-05
p-value 1.00e-03
95% CI [2.297e-05, 2.433e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.589
Model: NNLS Adj. R-squared: 0.589
No. Observations: 3773 RMSE: 89.03
Df Residuals: 3771 MAE: 76.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.1225 4.7109 0.001 86.7040 105.3571
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_1048576 · erigon
nobs 253
R² 0.4868
coef (ms) 7.705e-06
p-value 1.00e-03
95% CI [7.438e-06, 7.985e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.487
Model: NNLS Adj. R-squared: 0.485
No. Observations: 253 RMSE: 35.68
Df Residuals: 251 MAE: 10.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.8780 3.0297 0.001 17.6151 29.7486
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_1048576 · ethrex
nobs 1606
R² 0.8003
coef (ms) 3.08e-06
p-value 1.00e-03
95% CI [2.994e-06, 3.164e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.800
No. Observations: 1606 RMSE: 6.94
Df Residuals: 1604 MAE: 5.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.2415 0.6051 0.001 13.0657 15.4141
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_1048576 · geth
nobs 4224
R² 0.8099
coef (ms) 1.146e-05
p-value 1.00e-03
95% CI [1.129e-05, 1.164e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.810
No. Observations: 4224 RMSE: 25.05
Df Residuals: 4222 MAE: 20.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.6729 1.4275 0.001 46.9371 52.5041
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_1048576 · nethermind
nobs 1177
R² 0.8803
coef (ms) 5.792e-06
p-value 1.00e-03
95% CI [5.657e-06, 5.922e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.880
No. Observations: 1177 RMSE: 9.64
Df Residuals: 1175 MAE: 7.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.9318 0.9893 0.001 17.0435 20.8524
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_1048576 · reth
nobs 99
R² 0.813
coef (ms) 3.259e-06
p-value 1.00e-03
95% CI [2.982e-06, 3.579e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.811
No. Observations: 99 RMSE: 7.05
Df Residuals: 97 MAE: 5.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.3774 2.1312 0.001 4.0718 12.1078
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_256 · besu
nobs 3773
R² 0.5894
coef (ms) 2.375e-05
p-value 1.00e-03
95% CI [2.315e-05, 2.437e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.589
Model: NNLS Adj. R-squared: 0.589
No. Observations: 3773 RMSE: 89.41
Df Residuals: 3771 MAE: 76.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 94.6457 4.4141 0.001 85.8639 102.6898
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_256 · erigon
nobs 253
R² 0.509
coef (ms) 8.256e-06
p-value 1.00e-03
95% CI [7.706e-06, 9.031e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.509
Model: NNLS Adj. R-squared: 0.507
No. Observations: 253 RMSE: 36.58
Df Residuals: 251 MAE: 11.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.7864 2.7961 0.001 9.7591 20.6584
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_256 · ethrex
nobs 1606
R² 0.7979
coef (ms) 3.077e-06
p-value 1.00e-03
95% CI [2.995e-06, 3.165e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.798
No. Observations: 1606 RMSE: 6.99
Df Residuals: 1604 MAE: 5.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.2103 0.5928 0.001 12.9504 15.3394
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_256 · geth
nobs 4224
R² 0.8058
coef (ms) 1.162e-05
p-value 1.00e-03
95% CI [1.144e-05, 1.182e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.806
Model: NNLS Adj. R-squared: 0.806
No. Observations: 4224 RMSE: 25.74
Df Residuals: 4222 MAE: 20.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.9811 1.4350 0.001 45.1123 50.5261
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_256 · nethermind
nobs 1177
R² 0.8779
coef (ms) 5.661e-06
p-value 1.00e-03
95% CI [5.522e-06, 5.808e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.878
No. Observations: 1177 RMSE: 9.52
Df Residuals: 1175 MAE: 7.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.9686 1.0264 0.001 18.8439 22.9707
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_256 · reth
nobs 99
R² 0.8198
coef (ms) 2.701e-06
p-value 1.00e-03
95% CI [2.45e-06, 2.972e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.820
Model: NNLS Adj. R-squared: 0.818
No. Observations: 99 RMSE: 5.71
Df Residuals: 97 MAE: 4.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.9423 1.9269 0.001 10.2248 17.6602
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_32 · besu
nobs 3773
R² 0.5932
coef (ms) 2.404e-05
p-value 1.00e-03
95% CI [2.336e-05, 2.47e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.593
Model: NNLS Adj. R-squared: 0.593
No. Observations: 3773 RMSE: 89.81
Df Residuals: 3771 MAE: 76.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.1360 4.5170 0.001 83.2831 101.1565
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_32 · erigon
nobs 253
R² 0.7968
coef (ms) 7.9e-06
p-value 1.00e-03
95% CI [7.588e-06, 8.19e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.796
No. Observations: 253 RMSE: 18.00
Df Residuals: 251 MAE: 8.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.2243 2.0296 0.001 14.5582 22.4941
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_32 · ethrex
nobs 1606
R² 0.8177
coef (ms) 3.116e-06
p-value 1.00e-03
95% CI [3.036e-06, 3.188e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.818
No. Observations: 1606 RMSE: 6.64
Df Residuals: 1604 MAE: 5.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.9007 0.5513 0.001 12.8698 14.9964
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_32 · geth
nobs 4224
R² 0.799
coef (ms) 1.135e-05
p-value 1.00e-03
95% CI [1.116e-05, 1.155e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.799
Model: NNLS Adj. R-squared: 0.799
No. Observations: 4224 RMSE: 25.68
Df Residuals: 4222 MAE: 20.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.9234 1.5367 0.001 48.9783 54.8656
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_32 · nethermind
nobs 1177
R² 0.8333
coef (ms) 5.618e-06
p-value 1.00e-03
95% CI [5.432e-06, 5.793e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.833
No. Observations: 1177 RMSE: 11.34
Df Residuals: 1175 MAE: 7.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.5729 1.4305 0.001 18.9999 24.4732
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLDATACOPY · test_calldatacopy_from_origin · combo 32_32 · reth
nobs 99
R² 0.7805
coef (ms) 2.807e-06
p-value 1.00e-03
95% CI [2.49e-06, 3.134e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.781
Model: NNLS Adj. R-squared: 0.778
No. Observations: 99 RMSE: 6.72
Df Residuals: 97 MAE: 5.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.4789 2.2010 0.001 9.0203 17.9323
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_0 · besu
nobs 3773
R² 0.4932
coef (ms) 1.647e-05
p-value 1.00e-03
95% CI [1.593e-05, 1.702e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.493
Model: NNLS Adj. R-squared: 0.493
No. Observations: 3773 RMSE: 105.47
Df Residuals: 3771 MAE: 92.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 107.5110 4.8411 0.001 97.6945 116.9223
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_0 · erigon
nobs 253
R² 0.9397
coef (ms) 7.835e-06
p-value 1.00e-03
95% CI [7.606e-06, 8.056e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.940
Model: NNLS Adj. R-squared: 0.939
No. Observations: 253 RMSE: 12.53
Df Residuals: 251 MAE: 10.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.9731 2.5354 0.001 19.1197 28.8828
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_0 · ethrex
nobs 1606
R² 0.8233
coef (ms) 2.309e-06
p-value 1.00e-03
95% CI [2.251e-06, 2.368e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.823
Model: NNLS Adj. R-squared: 0.823
No. Observations: 1606 RMSE: 6.75
Df Residuals: 1604 MAE: 5.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.8528 0.5714 0.001 11.7592 13.9509
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_0 · geth
nobs 4224
R² 0.7977
coef (ms) 1.085e-05
p-value 1.00e-03
95% CI [1.068e-05, 1.103e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.798
No. Observations: 4224 RMSE: 34.51
Df Residuals: 4222 MAE: 27.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.0079 1.8881 0.001 66.3418 73.7684
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_0 · nethermind
nobs 1177
R² 0.8527
coef (ms) 3.077e-06
p-value 1.00e-03
95% CI [2.992e-06, 3.155e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.853
No. Observations: 1177 RMSE: 8.08
Df Residuals: 1175 MAE: 6.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.3650 0.8396 0.001 18.7929 22.1294
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_0 · reth
nobs 99
R² 0.7863
coef (ms) 1.823e-06
p-value 1.00e-03
95% CI [1.638e-06, 2.047e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.786
Model: NNLS Adj. R-squared: 0.784
No. Observations: 99 RMSE: 6.00
Df Residuals: 97 MAE: 4.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.1516 1.9677 0.001 8.9284 16.7041
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_0 · besu
nobs 3773
R² 0.5569
coef (ms) 2.183e-05
p-value 1.00e-03
95% CI [2.12e-05, 2.244e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.557
Model: NNLS Adj. R-squared: 0.557
No. Observations: 3773 RMSE: 11.60
Df Residuals: 3771 MAE: 10.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.9583 0.5780 0.001 12.9239 15.1145
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_0 · erigon
nobs 253
R² 0.8786
coef (ms) 1.038e-05
p-value 1.00e-03
95% CI [9.901e-06, 1.085e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.879
Model: NNLS Adj. R-squared: 0.878
No. Observations: 253 RMSE: 2.30
Df Residuals: 251 MAE: 1.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.8071 0.4839 0.001 8.8769 10.7674
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_0 · ethrex
nobs 1606
R² 0.7588
coef (ms) 4.874e-06
p-value 1.00e-03
95% CI [4.726e-06, 5.018e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.759
Model: NNLS Adj. R-squared: 0.759
No. Observations: 1606 RMSE: 1.64
Df Residuals: 1604 MAE: 1.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.3632 0.1295 0.001 4.1212 4.6195
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_0 · geth
nobs 4224
R² 0.6741
coef (ms) 1.44e-05
p-value 1.00e-03
95% CI [1.405e-05, 1.473e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.674
Model: NNLS Adj. R-squared: 0.674
No. Observations: 4224 RMSE: 5.96
Df Residuals: 4222 MAE: 4.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.2500 0.3304 0.001 9.6396 10.9389
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_0 · nethermind
nobs 1177
R² 0.8241
coef (ms) 9.557e-06
p-value 1.00e-03
95% CI [9.274e-06, 9.818e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.824
Model: NNLS Adj. R-squared: 0.824
No. Observations: 1177 RMSE: 2.63
Df Residuals: 1175 MAE: 2.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.8818 0.2553 0.001 6.3783 7.4187
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_0 · reth
nobs 99
R² 0.7235
coef (ms) 4.839e-06
p-value 1.00e-03
95% CI [4.328e-06, 5.404e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.724
Model: NNLS Adj. R-squared: 0.721
No. Observations: 99 RMSE: 1.78
Df Residuals: 97 MAE: 1.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.3374 0.4839 0.001 2.4027 4.2689
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_0 · besu
nobs 3773
R² 0.5281
coef (ms) 3.12e-05
p-value 1.00e-03
95% CI [3.029e-05, 3.218e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.528
Model: NNLS Adj. R-squared: 0.528
No. Observations: 3773 RMSE: 1.92
Df Residuals: 3771 MAE: 1.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.5443 0.0983 0.001 7.3406 7.7325
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_0 · erigon
nobs 253
R² 0.8455
coef (ms) 2.901e-05
p-value 1.00e-03
95% CI [2.718e-05, 3.067e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.846
Model: NNLS Adj. R-squared: 0.845
No. Observations: 253 RMSE: 0.81
Df Residuals: 251 MAE: 0.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.9625 0.1871 0.001 6.6253 7.3351
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_0 · ethrex
nobs 1606
R² 0.7431
coef (ms) 2.451e-05
p-value 1.00e-03
95% CI [2.372e-05, 2.522e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.743
Model: NNLS Adj. R-squared: 0.743
No. Observations: 1606 RMSE: 0.94
Df Residuals: 1604 MAE: 0.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.1447 0.0715 0.001 3.0191 3.2983
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_0 · geth
nobs 4224
R² 0.29
coef (ms) 2.977e-05
p-value 1.00e-03
95% CI [2.838e-05, 3.124e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.290
Model: NNLS Adj. R-squared: 0.290
No. Observations: 4224 RMSE: 3.03
Df Residuals: 4222 MAE: 1.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.2937 0.1486 0.001 3.9900 4.6032
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_0 · nethermind
nobs 1177
R² 0.7129
coef (ms) 2.777e-05
p-value 1.00e-03
95% CI [2.671e-05, 2.878e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.713
Model: NNLS Adj. R-squared: 0.713
No. Observations: 1177 RMSE: 1.15
Df Residuals: 1175 MAE: 0.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.6855 0.1013 0.001 3.4887 3.8814
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_0 · reth
nobs 99
R² 0.5225
coef (ms) 2.788e-05
p-value 1.00e-03
95% CI [2.246e-05, 3.572e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.522
Model: NNLS Adj. R-squared: 0.518
No. Observations: 99 RMSE: 1.74
Df Residuals: 97 MAE: 1.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.1085 0.5848 0.001 0.7677 3.0776
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_0 · besu
nobs 3773
R² 0.07658
coef (ms) 0.001719
p-value 1.00e-03
95% CI [0.00153, 0.001942]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.077
Model: NNLS Adj. R-squared: 0.076
No. Observations: 3773 RMSE: 6.01
Df Residuals: 3771 MAE: 3.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.5908 0.1829 0.001 12.2247 12.9396
opcount 0.0017 0.0001 0.001 0.0015 0.0019
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_0 · erigon
nobs 253
R² 0.3347
coef (ms) 0.004495
p-value 1.00e-03
95% CI [0.003552, 0.00583]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.335
Model: NNLS Adj. R-squared: 0.332
No. Observations: 253 RMSE: 6.38
Df Residuals: 251 MAE: 5.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.7036 0.9137 0.001 22.7206 26.4163
opcount 0.0045 0.0006 0.001 0.0036 0.0058
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_0 · ethrex
nobs 1606
R² 0.2459
coef (ms) 0.001265
p-value 1.00e-03
95% CI [0.001147, 0.001401]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.246
Model: NNLS Adj. R-squared: 0.245
No. Observations: 1606 RMSE: 2.23
Df Residuals: 1604 MAE: 1.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2227 0.1082 0.001 8.9934 9.4320
opcount 0.0013 0.0001 0.001 0.0011 0.0014
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_0 · geth
nobs 4224
R² 0.1289
coef (ms) 0.005172
p-value 1.00e-03
95% CI [0.004754, 0.005669]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.129
Model: NNLS Adj. R-squared: 0.129
No. Observations: 4224 RMSE: 13.54
Df Residuals: 4222 MAE: 10.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.4849 0.4393 0.001 25.5656 27.2952
opcount 0.0052 0.0002 0.001 0.0048 0.0057
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_0 · nethermind
nobs 1177
R² 0.2799
coef (ms) 0.001391
p-value 1.00e-03
95% CI [0.001253, 0.001564]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.280
Model: NNLS Adj. R-squared: 0.279
No. Observations: 1177 RMSE: 2.25
Df Residuals: 1175 MAE: 1.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9473 0.1358 0.001 9.6536 10.1887
opcount 0.0014 0.0001 0.001 0.0013 0.0016
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_0 · reth
nobs 99
R² 0.1328
coef (ms) 0.0009439
p-value 1.00e-03
95% CI [0.0005623, 0.00168]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.133
Model: NNLS Adj. R-squared: 0.124
No. Observations: 99 RMSE: 2.43
Df Residuals: 97 MAE: 1.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.8434 0.4996 0.001 7.7091 9.7494
opcount 0.0009 0.0003 0.001 0.0006 0.0017
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_0 · besu
nobs 3773
R² 0.5206
coef (ms) 2.065e-05
p-value 1.00e-03
95% CI [2.007e-05, 2.133e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.521
Model: NNLS Adj. R-squared: 0.521
No. Observations: 3773 RMSE: 36.78
Df Residuals: 3771 MAE: 32.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.1876 1.7953 0.001 35.6518 42.6176
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_0 · erigon
nobs 253
R² 0.1575
coef (ms) 8.642e-06
p-value 1.00e-03
95% CI [8.039e-06, 9.46e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.158
Model: NNLS Adj. R-squared: 0.154
No. Observations: 253 RMSE: 37.10
Df Residuals: 251 MAE: 8.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.7400 2.2391 0.001 17.1580 26.1231
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_0 · ethrex
nobs 1606
R² 0.7926
coef (ms) 3.467e-06
p-value 1.00e-03
95% CI [3.38e-06, 3.562e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.793
Model: NNLS Adj. R-squared: 0.792
No. Observations: 1606 RMSE: 3.29
Df Residuals: 1604 MAE: 2.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.8736 0.2589 0.001 6.3639 7.3572
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_0 · geth
nobs 4224
R² 0.7655
coef (ms) 1.356e-05
p-value 1.00e-03
95% CI [1.332e-05, 1.378e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.766
Model: NNLS Adj. R-squared: 0.765
No. Observations: 4224 RMSE: 13.93
Df Residuals: 4222 MAE: 11.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.1865 0.7204 0.001 19.8016 22.5524
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_0 · nethermind
nobs 1177
R² 0.8539
coef (ms) 7.484e-06
p-value 1.00e-03
95% CI [7.294e-06, 7.68e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.854
No. Observations: 1177 RMSE: 5.75
Df Residuals: 1175 MAE: 4.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.5032 0.5814 0.001 11.3518 13.6337
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_0 · reth
nobs 99
R² 0.8178
coef (ms) 3.738e-06
p-value 1.00e-03
95% CI [3.41e-06, 4.087e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.816
No. Observations: 99 RMSE: 3.27
Df Residuals: 97 MAE: 2.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.7191 0.9411 0.001 2.8630 6.4238
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_0 · besu
nobs 3773
R² 0.458
coef (ms) 2.076e-05
p-value 1.00e-03
95% CI [1.999e-05, 2.148e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.458
Model: NNLS Adj. R-squared: 0.458
No. Observations: 3773 RMSE: 109.53
Df Residuals: 3771 MAE: 98.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 103.7279 5.3431 0.001 93.2637 114.5964
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_0 · erigon
nobs 253
R² 0.9362
coef (ms) 8.669e-06
p-value 1.00e-03
95% CI [8.405e-06, 8.936e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.936
Model: NNLS Adj. R-squared: 0.936
No. Observations: 253 RMSE: 10.97
Df Residuals: 251 MAE: 9.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.5476 2.2203 0.001 17.3460 25.9134
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_0 · ethrex
nobs 1606
R² 0.8168
coef (ms) 2.908e-06
p-value 1.00e-03
95% CI [2.834e-06, 2.986e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.817
No. Observations: 1606 RMSE: 6.68
Df Residuals: 1604 MAE: 5.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.5455 0.5761 0.001 13.3909 15.6670
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_0 · geth
nobs 4224
R² 0.7986
coef (ms) 1.182e-05
p-value 1.00e-03
95% CI [1.163e-05, 1.203e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.799
Model: NNLS Adj. R-squared: 0.799
No. Observations: 4224 RMSE: 28.79
Df Residuals: 4222 MAE: 22.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 57.6997 1.7264 0.001 54.0991 61.0707
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_0 · nethermind
nobs 1177
R² 0.8713
coef (ms) 6.464e-06
p-value 1.00e-03
95% CI [6.304e-06, 6.625e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 1177 RMSE: 12.05
Df Residuals: 1175 MAE: 9.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.3569 1.2423 0.001 22.9460 27.6488
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_0 · reth
nobs 99
R² 0.8116
coef (ms) 3.118e-06
p-value 1.00e-03
95% CI [2.846e-06, 3.385e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.812
Model: NNLS Adj. R-squared: 0.810
No. Observations: 99 RMSE: 7.29
Df Residuals: 97 MAE: 5.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.4159 2.1104 0.001 6.4279 14.6443
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_1024 · besu
nobs 3773
R² 0.4975
coef (ms) 1.691e-05
p-value 1.00e-03
95% CI [1.64e-05, 1.746e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.497
Model: NNLS Adj. R-squared: 0.497
No. Observations: 3773 RMSE: 107.34
Df Residuals: 3771 MAE: 94.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.5405 5.1080 0.001 86.6665 106.3095
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_1024 · erigon
nobs 253
R² 0.7999
coef (ms) 7.873e-06
p-value 1.00e-03
95% CI [7.596e-06, 8.135e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.799
No. Observations: 253 RMSE: 24.87
Df Residuals: 251 MAE: 13.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.7265 3.0446 0.001 18.9582 30.9877
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_1024 · ethrex
nobs 1606
R² 0.81
coef (ms) 2.261e-06
p-value 1.00e-03
95% CI [2.201e-06, 2.32e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.810
No. Observations: 1606 RMSE: 6.92
Df Residuals: 1604 MAE: 5.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.4865 0.6006 0.001 12.2787 14.6951
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_1024 · geth
nobs 4224
R² 0.8085
coef (ms) 1.108e-05
p-value 1.00e-03
95% CI [1.09e-05, 1.126e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.808
No. Observations: 4224 RMSE: 34.05
Df Residuals: 4222 MAE: 26.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 67.0843 1.9124 0.001 63.3381 70.8694
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_1024 · nethermind
nobs 1177
R² 0.8347
coef (ms) 3.216e-06
p-value 1.00e-03
95% CI [3.132e-06, 3.299e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.835
No. Observations: 1177 RMSE: 9.04
Df Residuals: 1175 MAE: 6.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.2645 0.8422 0.001 15.6316 18.8111
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_1024 · reth
nobs 99
R² 0.8041
coef (ms) 1.942e-06
p-value 1.00e-03
95% CI [1.788e-06, 2.116e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.802
No. Observations: 99 RMSE: 6.05
Df Residuals: 97 MAE: 4.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.5644 1.5911 0.001 9.3248 15.4937
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_1024 · besu
nobs 3773
R² 0.5508
coef (ms) 2.182e-05
p-value 1.00e-03
95% CI [2.12e-05, 2.246e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.551
Model: NNLS Adj. R-squared: 0.551
No. Observations: 3773 RMSE: 11.73
Df Residuals: 3771 MAE: 10.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.0887 0.5835 0.001 12.9302 15.1815
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_1024 · erigon
nobs 253
R² 0.04689
coef (ms) 1.26e-05
p-value 1.00e-03
95% CI [9.938e-06, 1.801e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.047
Model: NNLS Adj. R-squared: 0.043
No. Observations: 253 RMSE: 33.85
Df Residuals: 251 MAE: 5.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.9031 2.2175 0.006 2.7499 10.7980
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_1024 · ethrex
nobs 1606
R² 0.7504
coef (ms) 4.864e-06
p-value 1.00e-03
95% CI [4.718e-06, 5.001e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.750
Model: NNLS Adj. R-squared: 0.750
No. Observations: 1606 RMSE: 1.67
Df Residuals: 1604 MAE: 1.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.3866 0.1286 0.001 4.1410 4.6389
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_1024 · geth
nobs 4224
R² 0.6736
coef (ms) 1.467e-05
p-value 1.00e-03
95% CI [1.436e-05, 1.502e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.674
Model: NNLS Adj. R-squared: 0.674
No. Observations: 4224 RMSE: 6.08
Df Residuals: 4222 MAE: 4.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9694 0.3173 0.001 9.3292 10.5696
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_1024 · nethermind
nobs 1177
R² 0.4745
coef (ms) 1.004e-05
p-value 1.00e-03
95% CI [9.466e-06, 1.094e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.474
Model: NNLS Adj. R-squared: 0.474
No. Observations: 1177 RMSE: 6.29
Df Residuals: 1175 MAE: 2.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.1499 0.5860 0.001 4.8576 7.0373
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_1024 · reth
nobs 99
R² 0.5447
coef (ms) 4.977e-06
p-value 1.00e-03
95% CI [4.094e-06, 6.159e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.545
Model: NNLS Adj. R-squared: 0.540
No. Observations: 99 RMSE: 2.71
Df Residuals: 97 MAE: 1.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.5727 0.8523 0.001 1.7542 5.0242
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_1024 · besu
nobs 3773
R² 0.6859
coef (ms) 3.997e-05
p-value 1.00e-03
95% CI [3.909e-05, 4.091e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.686
Model: NNLS Adj. R-squared: 0.686
No. Observations: 3773 RMSE: 1.76
Df Residuals: 3771 MAE: 1.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.8050 0.0941 0.001 4.6195 4.9847
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_1024 · erigon
nobs 253
R² 0.4218
coef (ms) 2.878e-05
p-value 1.00e-03
95% CI [2.422e-05, 3.636e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.422
Model: NNLS Adj. R-squared: 0.419
No. Observations: 253 RMSE: 2.19
Df Residuals: 251 MAE: 0.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.0091 0.5585 0.001 5.7109 7.8507
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_1024 · ethrex
nobs 1606
R² 0.7725
coef (ms) 2.464e-05
p-value 1.00e-03
95% CI [2.397e-05, 2.532e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.773
Model: NNLS Adj. R-squared: 0.772
No. Observations: 1606 RMSE: 0.87
Df Residuals: 1604 MAE: 0.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.0438 0.0664 0.001 2.9164 3.1726
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_1024 · geth
nobs 4224
R² 0.2662
coef (ms) 2.958e-05
p-value 1.00e-03
95% CI [2.814e-05, 3.111e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.266
Model: NNLS Adj. R-squared: 0.266
No. Observations: 4224 RMSE: 3.20
Df Residuals: 4222 MAE: 1.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.4403 0.1497 0.001 4.1426 4.7367
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_1024 · nethermind
nobs 1177
R² 0.7818
coef (ms) 2.79e-05
p-value 1.00e-03
95% CI [2.7e-05, 2.88e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.782
Model: NNLS Adj. R-squared: 0.782
No. Observations: 1177 RMSE: 0.96
Df Residuals: 1175 MAE: 0.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.6862 0.0860 0.001 3.5213 3.8598
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_1024 · reth
nobs 99
R² 0.5295
coef (ms) 2.288e-05
p-value 1.00e-03
95% CI [1.9e-05, 2.722e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.529
Model: NNLS Adj. R-squared: 0.525
No. Observations: 99 RMSE: 1.40
Df Residuals: 97 MAE: 1.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.0866 0.3789 0.001 2.3421 3.8542
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_1024 · besu
nobs 3773
R² 0.1099
coef (ms) 0.001637
p-value 1.00e-03
95% CI [0.001478, 0.001791]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.110
Model: NNLS Adj. R-squared: 0.110
No. Observations: 3773 RMSE: 4.69
Df Residuals: 3771 MAE: 3.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.9089 0.1519 0.001 12.6108 13.2066
opcount 0.0016 0.0001 0.001 0.0015 0.0018
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_1024 · erigon
nobs 253
R² 0.3018
coef (ms) 0.004325
p-value 1.00e-03
95% CI [0.003415, 0.005701]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.302
Model: NNLS Adj. R-squared: 0.299
No. Observations: 253 RMSE: 6.62
Df Residuals: 251 MAE: 5.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.2095 0.9634 0.001 23.0983 26.9015
opcount 0.0043 0.0006 0.001 0.0034 0.0057
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_1024 · ethrex
nobs 1606
R² 0.2673
coef (ms) 0.001331
p-value 1.00e-03
95% CI [0.001213, 0.001474]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.267
Model: NNLS Adj. R-squared: 0.267
No. Observations: 1606 RMSE: 2.22
Df Residuals: 1604 MAE: 1.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.9806 0.1095 0.001 8.7390 9.1811
opcount 0.0013 0.0001 0.001 0.0012 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_1024 · geth
nobs 4224
R² 0.1206
coef (ms) 0.004371
p-value 1.00e-03
95% CI [0.003987, 0.00478]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.121
Model: NNLS Adj. R-squared: 0.120
No. Observations: 4224 RMSE: 11.88
Df Residuals: 4222 MAE: 9.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.1375 0.3645 0.001 25.4367 26.8306
opcount 0.0044 0.0002 0.001 0.0040 0.0048
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_1024 · nethermind
nobs 1177
R² 0.035
coef (ms) 0.00145
p-value 1.00e-03
95% CI [0.001259, 0.001707]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.035
Model: NNLS Adj. R-squared: 0.034
No. Observations: 1177 RMSE: 7.67
Df Residuals: 1175 MAE: 2.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.0087 0.1839 0.001 9.6722 10.4048
opcount 0.0015 0.0001 0.001 0.0013 0.0017
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_1024 · reth
nobs 99
R² 0.2209
coef (ms) 0.001009
p-value 1.00e-03
95% CI [0.000669, 0.001684]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.221
Model: NNLS Adj. R-squared: 0.213
No. Observations: 99 RMSE: 1.91
Df Residuals: 97 MAE: 1.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.4554 0.4374 0.001 7.4074 9.1272
opcount 0.0010 0.0003 0.001 0.0007 0.0017
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_1024 · besu
nobs 3773
R² 0.5378
coef (ms) 2.125e-05
p-value 1.00e-03
95% CI [2.063e-05, 2.192e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.538
Model: NNLS Adj. R-squared: 0.538
No. Observations: 3773 RMSE: 36.57
Df Residuals: 3771 MAE: 32.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.3809 1.8352 0.001 31.8490 38.8385
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_1024 · erigon
nobs 253
R² 0.37
coef (ms) 8.773e-06
p-value 1.00e-03
95% CI [8.263e-06, 9.408e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.370
Model: NNLS Adj. R-squared: 0.368
No. Observations: 253 RMSE: 21.25
Df Residuals: 251 MAE: 5.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.8542 1.2566 0.001 15.5621 20.4685
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_1024 · ethrex
nobs 1606
R² 0.8028
coef (ms) 3.436e-06
p-value 1.00e-03
95% CI [3.34e-06, 3.529e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 1606 RMSE: 3.16
Df Residuals: 1604 MAE: 2.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.9760 0.2696 0.001 6.4410 7.5043
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_1024 · geth
nobs 4224
R² 0.7982
coef (ms) 1.384e-05
p-value 1.00e-03
95% CI [1.362e-05, 1.406e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.798
No. Observations: 4224 RMSE: 12.91
Df Residuals: 4222 MAE: 10.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.4454 0.6774 0.001 18.1546 20.7785
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_1024 · nethermind
nobs 1177
R² 0.8645
coef (ms) 7.446e-06
p-value 1.00e-03
95% CI [7.238e-06, 7.636e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.864
No. Observations: 1177 RMSE: 5.47
Df Residuals: 1175 MAE: 4.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6859 0.5985 0.001 11.5659 13.8369
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_1024 · reth
nobs 99
R² 0.7217
coef (ms) 3.481e-06
p-value 1.00e-03
95% CI [3.065e-06, 3.973e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.722
Model: NNLS Adj. R-squared: 0.719
No. Observations: 99 RMSE: 4.01
Df Residuals: 97 MAE: 2.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.0404 1.1251 0.001 3.7566 8.1040
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_1024 · besu
nobs 3773
R² 0.4668
coef (ms) 2.131e-05
p-value 1.00e-03
95% CI [2.056e-05, 2.2e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.467
Model: NNLS Adj. R-squared: 0.467
No. Observations: 3773 RMSE: 110.42
Df Residuals: 3771 MAE: 99.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.8496 5.3107 0.001 82.8641 103.4017
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_1024 · erigon
nobs 253
R² 0.6241
coef (ms) 9.559e-06
p-value 1.00e-03
95% CI [8.647e-06, 1.064e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.624
Model: NNLS Adj. R-squared: 0.623
No. Observations: 253 RMSE: 35.97
Df Residuals: 251 MAE: 12.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.8880 6.2632 0.083 0.0000 21.7165
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_1024 · ethrex
nobs 1606
R² 0.8179
coef (ms) 2.959e-06
p-value 1.00e-03
95% CI [2.883e-06, 3.034e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.818
No. Observations: 1606 RMSE: 6.77
Df Residuals: 1604 MAE: 5.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.0162 0.5604 0.001 12.9581 15.1469
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_1024 · geth
nobs 4224
R² 0.7835
coef (ms) 1.186e-05
p-value 1.00e-03
95% CI [1.166e-05, 1.208e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.784
Model: NNLS Adj. R-squared: 0.783
No. Observations: 4224 RMSE: 30.24
Df Residuals: 4222 MAE: 22.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.0572 1.6699 0.001 52.6020 59.3210
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_1024 · nethermind
nobs 1177
R² 0.8336
coef (ms) 6.605e-06
p-value 1.00e-03
95% CI [6.435e-06, 6.783e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.833
No. Observations: 1177 RMSE: 14.31
Df Residuals: 1175 MAE: 9.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.9502 1.3339 0.001 20.2631 25.4972
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_1024 · reth
nobs 99
R² 0.8247
coef (ms) 3.038e-06
p-value 1.00e-03
95% CI [2.729e-06, 3.367e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.825
Model: NNLS Adj. R-squared: 0.823
No. Observations: 99 RMSE: 6.79
Df Residuals: 97 MAE: 5.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.2432 2.5924 0.001 7.3600 17.3547
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_256 · besu
nobs 3773
R² 0.5043
coef (ms) 1.713e-05
p-value 1.00e-03
95% CI [1.657e-05, 1.768e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.504
Model: NNLS Adj. R-squared: 0.504
No. Observations: 3773 RMSE: 107.25
Df Residuals: 3771 MAE: 94.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.2019 5.3074 0.001 81.4355 102.8895
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_256 · erigon
nobs 253
R² 0.6789
coef (ms) 8.058e-06
p-value 1.00e-03
95% CI [7.758e-06, 8.405e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.679
Model: NNLS Adj. R-squared: 0.678
No. Observations: 253 RMSE: 35.00
Df Residuals: 251 MAE: 15.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.9585 3.0110 0.001 18.1133 30.1943
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_256 · ethrex
nobs 1606
R² 0.7944
coef (ms) 2.227e-06
p-value 1.00e-03
95% CI [2.168e-06, 2.287e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.794
Model: NNLS Adj. R-squared: 0.794
No. Observations: 1606 RMSE: 7.15
Df Residuals: 1604 MAE: 5.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.0931 0.5960 0.001 12.8669 15.1993
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_256 · geth
nobs 4224
R² 0.8079
coef (ms) 1.102e-05
p-value 1.00e-03
95% CI [1.084e-05, 1.119e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.808
No. Observations: 4224 RMSE: 33.93
Df Residuals: 4222 MAE: 26.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 67.4820 1.9081 0.001 63.7018 71.1716
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_256 · nethermind
nobs 1177
R² 0.6873
coef (ms) 3.105e-06
p-value 1.00e-03
95% CI [2.976e-06, 3.218e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.687
Model: NNLS Adj. R-squared: 0.687
No. Observations: 1177 RMSE: 13.23
Df Residuals: 1175 MAE: 6.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.0334 1.4039 0.001 17.4714 23.0822
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_256 · reth
nobs 99
R² 0.7799
coef (ms) 1.897e-06
p-value 1.00e-03
95% CI [1.69e-06, 2.1e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.780
Model: NNLS Adj. R-squared: 0.778
No. Observations: 99 RMSE: 6.36
Df Residuals: 97 MAE: 5.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.5685 2.2345 0.001 9.0677 18.0517
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_256 · besu
nobs 3773
R² 0.5392
coef (ms) 2.096e-05
p-value 1.00e-03
95% CI [2.033e-05, 2.153e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.539
Model: NNLS Adj. R-squared: 0.539
No. Observations: 3773 RMSE: 11.54
Df Residuals: 3771 MAE: 10.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.5447 0.5275 0.001 15.5110 17.6666
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_256 · erigon
nobs 253
R² 0.8609
coef (ms) 1.035e-05
p-value 1.00e-03
95% CI [9.774e-06, 1.091e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.860
No. Observations: 253 RMSE: 2.48
Df Residuals: 251 MAE: 1.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9317 0.5102 0.001 8.9704 10.9899
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_256 · ethrex
nobs 1606
R² 0.7617
coef (ms) 4.91e-06
p-value 1.00e-03
95% CI [4.77e-06, 5.049e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.762
Model: NNLS Adj. R-squared: 0.762
No. Observations: 1606 RMSE: 1.64
Df Residuals: 1604 MAE: 1.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.2650 0.1244 0.001 4.0219 4.5080
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_256 · geth
nobs 4224
R² 0.6694
coef (ms) 1.484e-05
p-value 1.00e-03
95% CI [1.45e-05, 1.517e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.669
Model: NNLS Adj. R-squared: 0.669
No. Observations: 4224 RMSE: 6.21
Df Residuals: 4222 MAE: 4.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9079 0.3151 0.001 9.3171 10.5092
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_256 · nethermind
nobs 1177
R² 0.3932
coef (ms) 1.016e-05
p-value 1.00e-03
95% CI [9.392e-06, 1.157e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.393
Model: NNLS Adj. R-squared: 0.393
No. Observations: 1177 RMSE: 7.52
Df Residuals: 1175 MAE: 2.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.0288 0.8536 0.001 3.8936 7.2451
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_256 · reth
nobs 99
R² 0.7057
coef (ms) 5.039e-06
p-value 1.00e-03
95% CI [4.409e-06, 5.693e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.706
Model: NNLS Adj. R-squared: 0.703
No. Observations: 99 RMSE: 1.94
Df Residuals: 97 MAE: 1.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.2396 0.5453 0.001 2.1690 4.2544
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_256 · besu
nobs 3773
R² 0.6838
coef (ms) 3.975e-05
p-value 1.00e-03
95% CI [3.889e-05, 4.066e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.684
Model: NNLS Adj. R-squared: 0.684
No. Observations: 3773 RMSE: 1.76
Df Residuals: 3771 MAE: 1.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.8324 0.0885 0.001 4.6575 5.0050
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_256 · erigon
nobs 253
R² 0.6739
coef (ms) 2.43e-05
p-value 1.00e-03
95% CI [2.154e-05, 2.633e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.674
Model: NNLS Adj. R-squared: 0.673
No. Observations: 253 RMSE: 1.10
Df Residuals: 251 MAE: 0.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.7369 0.3052 0.001 7.2299 8.4147
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_256 · ethrex
nobs 1606
R² 0.7427
coef (ms) 2.48e-05
p-value 1.00e-03
95% CI [2.403e-05, 2.559e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.743
Model: NNLS Adj. R-squared: 0.743
No. Observations: 1606 RMSE: 0.95
Df Residuals: 1604 MAE: 0.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.0612 0.0723 0.001 2.9164 3.2052
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_256 · geth
nobs 4224
R² 0.2607
coef (ms) 2.879e-05
p-value 1.00e-03
95% CI [2.731e-05, 3.025e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.261
Model: NNLS Adj. R-squared: 0.260
No. Observations: 4224 RMSE: 3.16
Df Residuals: 4222 MAE: 1.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.5104 0.1538 0.001 4.2080 4.8099
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_256 · nethermind
nobs 1177
R² 0.05857
coef (ms) 3.443e-05
p-value 1.00e-03
95% CI [2.671e-05, 4.509e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.059
Model: NNLS Adj. R-squared: 0.058
No. Observations: 1177 RMSE: 8.98
Df Residuals: 1175 MAE: 1.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.8242 0.7095 0.001 1.2393 3.9761
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_256 · reth
nobs 99
R² 0.5126
coef (ms) 2.677e-05
p-value 1.00e-03
95% CI [2.277e-05, 3.1e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.513
Model: NNLS Adj. R-squared: 0.508
No. Observations: 99 RMSE: 1.70
Df Residuals: 97 MAE: 1.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.5161 0.4100 0.001 1.7404 3.3142
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_256 · besu
nobs 3773
R² 0.1161
coef (ms) 0.001701
p-value 1.00e-03
95% CI [0.001545, 0.001862]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.116
Model: NNLS Adj. R-squared: 0.116
No. Observations: 3773 RMSE: 4.73
Df Residuals: 3771 MAE: 3.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.7855 0.1583 0.001 12.4766 13.0852
opcount 0.0017 0.0001 0.001 0.0015 0.0019
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_256 · erigon
nobs 253
R² 0.3021
coef (ms) 0.004219
p-value 1.00e-03
95% CI [0.003371, 0.00578]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.302
Model: NNLS Adj. R-squared: 0.299
No. Observations: 253 RMSE: 6.46
Df Residuals: 251 MAE: 5.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.2708 0.9720 0.001 22.9741 26.7825
opcount 0.0042 0.0006 0.001 0.0034 0.0058
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_256 · ethrex
nobs 1606
R² 0.2733
coef (ms) 0.001348
p-value 1.00e-03
95% CI [0.001226, 0.001485]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.273
Model: NNLS Adj. R-squared: 0.273
No. Observations: 1606 RMSE: 2.21
Df Residuals: 1604 MAE: 1.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.9679 0.1092 0.001 8.7426 9.1575
opcount 0.0013 0.0001 0.001 0.0012 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_256 · geth
nobs 4224
R² 0.1005
coef (ms) 0.004025
p-value 1.00e-03
95% CI [0.003634, 0.004456]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.101
Model: NNLS Adj. R-squared: 0.100
No. Observations: 4224 RMSE: 12.12
Df Residuals: 4222 MAE: 9.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.1663 0.3664 0.001 26.4186 27.8438
opcount 0.0040 0.0002 0.001 0.0036 0.0045
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_256 · nethermind
nobs 1177
R² 0.2715
coef (ms) 0.001399
p-value 1.00e-03
95% CI [0.001258, 0.001565]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.271
Model: NNLS Adj. R-squared: 0.271
No. Observations: 1177 RMSE: 2.31
Df Residuals: 1175 MAE: 1.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.8185 0.1343 0.001 9.5484 10.0774
opcount 0.0014 0.0001 0.001 0.0013 0.0016
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_256 · reth
nobs 99
R² 0.252
coef (ms) 0.001401
p-value 1.00e-03
95% CI [0.0009939, 0.002257]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.252
Model: NNLS Adj. R-squared: 0.244
No. Observations: 99 RMSE: 2.43
Df Residuals: 97 MAE: 1.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.1319 0.5649 0.001 6.8274 9.0192
opcount 0.0014 0.0003 0.001 0.0010 0.0023
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_256 · besu
nobs 3773
R² 0.5323
coef (ms) 2.105e-05
p-value 1.00e-03
95% CI [2.038e-05, 2.169e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.532
Model: NNLS Adj. R-squared: 0.532
No. Observations: 3773 RMSE: 36.62
Df Residuals: 3771 MAE: 32.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.4646 1.7870 0.001 34.0792 41.0732
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_256 · erigon
nobs 253
R² 0.1493
coef (ms) 9.708e-06
p-value 1.00e-03
95% CI [8.247e-06, 1.196e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.149
Model: NNLS Adj. R-squared: 0.146
No. Observations: 253 RMSE: 43.01
Df Residuals: 251 MAE: 9.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.9755 3.2133 0.001 7.5594 19.9260
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_256 · ethrex
nobs 1606
R² 0.8019
coef (ms) 3.466e-06
p-value 1.00e-03
95% CI [3.379e-06, 3.558e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.802
Model: NNLS Adj. R-squared: 0.802
No. Observations: 1606 RMSE: 3.20
Df Residuals: 1604 MAE: 2.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.9094 0.2525 0.001 6.4139 7.3742
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_256 · geth
nobs 4224
R² 0.7762
coef (ms) 1.362e-05
p-value 1.00e-03
95% CI [1.34e-05, 1.385e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.776
Model: NNLS Adj. R-squared: 0.776
No. Observations: 4224 RMSE: 13.57
Df Residuals: 4222 MAE: 10.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.0919 0.6941 0.001 19.7051 22.4289
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_256 · nethermind
nobs 1177
R² 0.8515
coef (ms) 7.431e-06
p-value 1.00e-03
95% CI [7.24e-06, 7.641e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.852
Model: NNLS Adj. R-squared: 0.851
No. Observations: 1177 RMSE: 5.76
Df Residuals: 1175 MAE: 4.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.9819 0.6079 0.001 11.7609 14.1242
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_256 · reth
nobs 99
R² 0.8002
coef (ms) 3.097e-06
p-value 1.00e-03
95% CI [2.792e-06, 3.426e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.798
No. Observations: 99 RMSE: 2.87
Df Residuals: 97 MAE: 2.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.3977 0.9719 0.001 6.5548 10.2544
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_256 · besu
nobs 3773
R² 0.4669
coef (ms) 2.135e-05
p-value 1.00e-03
95% CI [2.065e-05, 2.208e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.467
Model: NNLS Adj. R-squared: 0.467
No. Observations: 3773 RMSE: 110.61
Df Residuals: 3771 MAE: 99.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.2966 5.3325 0.001 81.4574 102.3806
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_256 · erigon
nobs 253
R² 0.836
coef (ms) 9.029e-06
p-value 1.00e-03
95% CI [8.509e-06, 9.861e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.835
No. Observations: 253 RMSE: 19.39
Df Residuals: 251 MAE: 9.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.4499 4.5704 0.002 6.4621 23.6397
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_256 · ethrex
nobs 1606
R² 0.8127
coef (ms) 2.997e-06
p-value 1.00e-03
95% CI [2.916e-06, 3.075e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.813
No. Observations: 1606 RMSE: 6.98
Df Residuals: 1604 MAE: 5.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.4168 0.6132 0.001 12.2316 14.6435
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_256 · geth
nobs 4224
R² 0.7997
coef (ms) 1.172e-05
p-value 1.00e-03
95% CI [1.153e-05, 1.191e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.800
No. Observations: 4224 RMSE: 28.45
Df Residuals: 4222 MAE: 22.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 58.2476 1.6208 0.001 55.1909 61.4404
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_256 · nethermind
nobs 1177
R² 0.8576
coef (ms) 6.549e-06
p-value 1.00e-03
95% CI [6.379e-06, 6.705e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.858
No. Observations: 1177 RMSE: 12.94
Df Residuals: 1175 MAE: 9.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.9977 1.3294 0.001 21.5312 26.6805
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_256 · reth
nobs 99
R² 0.8178
coef (ms) 2.879e-06
p-value 1.00e-03
95% CI [2.616e-06, 3.145e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.816
No. Observations: 99 RMSE: 6.59
Df Residuals: 97 MAE: 5.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.7795 2.1851 0.001 9.6194 18.0066
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_32 · besu
nobs 3773
R² 0.4943
coef (ms) 1.679e-05
p-value 1.00e-03
95% CI [1.623e-05, 1.733e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.494
Model: NNLS Adj. R-squared: 0.494
No. Observations: 3773 RMSE: 107.23
Df Residuals: 3771 MAE: 94.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 98.0839 5.2140 0.001 87.9661 108.7763
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_32 · erigon
nobs 253
R² 0.7834
coef (ms) 7.95e-06
p-value 1.00e-03
95% CI [7.689e-06, 8.24e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.783
Model: NNLS Adj. R-squared: 0.783
No. Observations: 253 RMSE: 26.40
Df Residuals: 251 MAE: 13.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.1344 3.0847 0.001 18.5456 30.2153
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_32 · ethrex
nobs 1606
R² 0.8098
coef (ms) 2.245e-06
p-value 1.00e-03
95% CI [2.183e-06, 2.302e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.810
No. Observations: 1606 RMSE: 6.87
Df Residuals: 1604 MAE: 5.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.8468 0.5952 0.001 12.7240 15.0079
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_32 · geth
nobs 4224
R² 0.8055
coef (ms) 1.108e-05
p-value 1.00e-03
95% CI [1.089e-05, 1.127e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.805
No. Observations: 4224 RMSE: 34.39
Df Residuals: 4222 MAE: 26.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 67.0227 2.0558 0.001 62.9123 71.0172
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_32 · nethermind
nobs 1177
R² 0.7444
coef (ms) 3.192e-06
p-value 1.00e-03
95% CI [3.087e-06, 3.28e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.744
Model: NNLS Adj. R-squared: 0.744
No. Observations: 1177 RMSE: 11.81
Df Residuals: 1175 MAE: 6.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.3606 1.0654 0.001 16.3919 20.7263
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 0_32 · reth
nobs 99
R² 0.7829
coef (ms) 1.697e-06
p-value 1.00e-03
95% CI [1.517e-06, 1.902e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.783
Model: NNLS Adj. R-squared: 0.781
No. Observations: 99 RMSE: 5.64
Df Residuals: 97 MAE: 4.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.5417 2.0520 0.001 12.3479 20.3341
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_32 · besu
nobs 3773
R² 0.6609
coef (ms) 2.987e-05
p-value 1.00e-03
95% CI [2.917e-05, 3.06e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.661
Model: NNLS Adj. R-squared: 0.661
No. Observations: 3773 RMSE: 12.74
Df Residuals: 3771 MAE: 10.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.1276 0.6288 0.001 1.8883 4.3845
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_32 · erigon
nobs 253
R² 0.889
coef (ms) 9.675e-06
p-value 1.00e-03
95% CI [9.23e-06, 1.014e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.889
Model: NNLS Adj. R-squared: 0.889
No. Observations: 253 RMSE: 2.04
Df Residuals: 251 MAE: 1.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.2076 0.4367 0.001 10.3532 11.9847
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_32 · ethrex
nobs 1606
R² 0.7433
coef (ms) 4.9e-06
p-value 1.00e-03
95% CI [4.748e-06, 5.046e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.743
Model: NNLS Adj. R-squared: 0.743
No. Observations: 1606 RMSE: 1.72
Df Residuals: 1604 MAE: 1.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.2801 0.1326 0.001 4.0160 4.5352
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_32 · geth
nobs 4224
R² 0.6626
coef (ms) 1.434e-05
p-value 1.00e-03
95% CI [1.401e-05, 1.468e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.663
Model: NNLS Adj. R-squared: 0.663
No. Observations: 4224 RMSE: 6.09
Df Residuals: 4222 MAE: 4.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.5874 0.3228 0.001 9.9404 11.1955
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_32 · nethermind
nobs 1177
R² 0.634
coef (ms) 9.153e-06
p-value 1.00e-03
95% CI [8.716e-06, 9.522e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.634
Model: NNLS Adj. R-squared: 0.634
No. Observations: 1177 RMSE: 4.14
Df Residuals: 1175 MAE: 2.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.1198 0.4383 0.001 7.3287 9.1575
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1024_32 · reth
nobs 99
R² 0.6212
coef (ms) 4.511e-06
p-value 1.00e-03
95% CI [3.763e-06, 5.324e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.621
Model: NNLS Adj. R-squared: 0.617
No. Observations: 99 RMSE: 2.10
Df Residuals: 97 MAE: 1.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.2493 0.6333 0.001 2.9914 5.4429
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_32 · besu
nobs 3773
R² 0.6605
coef (ms) 3.8e-05
p-value 1.00e-03
95% CI [3.706e-05, 3.896e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.661
Model: NNLS Adj. R-squared: 0.660
No. Observations: 3773 RMSE: 1.77
Df Residuals: 3771 MAE: 1.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.1945 0.0950 0.001 5.0057 5.3898
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_32 · erigon
nobs 253
R² 0.8331
coef (ms) 2.525e-05
p-value 1.00e-03
95% CI [2.341e-05, 2.685e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.832
No. Observations: 253 RMSE: 0.74
Df Residuals: 251 MAE: 0.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.5132 0.2068 0.001 7.1486 7.9475
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_32 · ethrex
nobs 1606
R² 0.751
coef (ms) 2.399e-05
p-value 1.00e-03
95% CI [2.332e-05, 2.468e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.751
Model: NNLS Adj. R-squared: 0.751
No. Observations: 1606 RMSE: 0.90
Df Residuals: 1604 MAE: 0.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.2001 0.0654 0.001 3.0699 3.3217
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_32 · geth
nobs 4224
R² 0.2831
coef (ms) 3.041e-05
p-value 1.00e-03
95% CI [2.884e-05, 3.176e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.283
Model: NNLS Adj. R-squared: 0.283
No. Observations: 4224 RMSE: 3.15
Df Residuals: 4222 MAE: 1.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.2925 0.1493 0.001 4.0134 4.5998
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_32 · nethermind
nobs 1177
R² 0.7412
coef (ms) 2.674e-05
p-value 1.00e-03
95% CI [2.592e-05, 2.753e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.741
Model: NNLS Adj. R-squared: 0.741
No. Observations: 1177 RMSE: 1.03
Df Residuals: 1175 MAE: 0.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.0247 0.0810 0.001 3.8782 4.1850
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 10240_32 · reth
nobs 99
R² 0.5212
coef (ms) 2.697e-05
p-value 1.00e-03
95% CI [2.122e-05, 3.287e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.521
Model: NNLS Adj. R-squared: 0.516
No. Observations: 99 RMSE: 1.68
Df Residuals: 97 MAE: 1.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.4174 0.5899 0.001 1.2839 3.5588
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_32 · besu
nobs 3773
R² 0.1159
coef (ms) 0.001706
p-value 1.00e-03
95% CI [0.001553, 0.001866]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.116
Model: NNLS Adj. R-squared: 0.116
No. Observations: 3773 RMSE: 4.75
Df Residuals: 3771 MAE: 3.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.9504 0.1568 0.001 12.6327 13.2635
opcount 0.0017 0.0001 0.001 0.0016 0.0019
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_32 · erigon
nobs 253
R² 0.01317
coef (ms) 0.003694
p-value 1.00e-03
95% CI [0.002096, 0.00538]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.013
Model: NNLS Adj. R-squared: 0.009
No. Observations: 253 RMSE: 32.21
Df Residuals: 251 MAE: 8.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.5530 3.0208 0.001 24.1493 35.4130
opcount 0.0037 0.0008 0.001 0.0021 0.0054
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_32 · ethrex
nobs 1606
R² 0.2794
coef (ms) 0.001343
p-value 1.00e-03
95% CI [0.001226, 0.001488]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.279
Model: NNLS Adj. R-squared: 0.279
No. Observations: 1606 RMSE: 2.17
Df Residuals: 1604 MAE: 1.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.9399 0.1116 0.001 8.6956 9.1409
opcount 0.0013 0.0001 0.001 0.0012 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_32 · geth
nobs 4224
R² 0.1076
coef (ms) 0.004184
p-value 1.00e-03
95% CI [0.003806, 0.004634]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.108
Model: NNLS Adj. R-squared: 0.107
No. Observations: 4224 RMSE: 12.14
Df Residuals: 4222 MAE: 9.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.0742 0.3795 0.001 26.2781 27.7426
opcount 0.0042 0.0002 0.001 0.0038 0.0046
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_32 · nethermind
nobs 1177
R² 0.2725
coef (ms) 0.001421
p-value 1.00e-03
95% CI [0.00128, 0.001595]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.273
Model: NNLS Adj. R-squared: 0.272
No. Observations: 1177 RMSE: 2.34
Df Residuals: 1175 MAE: 1.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9111 0.1357 0.001 9.6294 10.1730
opcount 0.0014 0.0001 0.001 0.0013 0.0016
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 1048576_32 · reth
nobs 99
R² 0.1575
coef (ms) 0.0011
p-value 1.00e-03
95% CI [0.0006891, 0.001847]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.158
Model: NNLS Adj. R-squared: 0.149
No. Observations: 99 RMSE: 2.56
Df Residuals: 97 MAE: 1.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.5675 0.5258 0.001 7.4033 9.5121
opcount 0.0011 0.0003 0.001 0.0007 0.0018
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_32 · besu
nobs 3773
R² 0.5345
coef (ms) 2.126e-05
p-value 1.00e-03
95% CI [2.058e-05, 2.187e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.534
Model: NNLS Adj. R-squared: 0.534
No. Observations: 3773 RMSE: 36.82
Df Residuals: 3771 MAE: 32.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.9375 1.7811 0.001 31.6502 38.6254
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_32 · erigon
nobs 253
R² 0.2662
coef (ms) 9.075e-06
p-value 1.00e-03
95% CI [8.182e-06, 1.049e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.266
Model: NNLS Adj. R-squared: 0.263
No. Observations: 253 RMSE: 27.96
Df Residuals: 251 MAE: 6.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.5573 2.1588 0.001 11.7462 20.1032
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_32 · ethrex
nobs 1606
R² 0.8062
coef (ms) 3.424e-06
p-value 1.00e-03
95% CI [3.334e-06, 3.515e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.806
Model: NNLS Adj. R-squared: 0.806
No. Observations: 1606 RMSE: 3.12
Df Residuals: 1604 MAE: 2.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.0840 0.2496 0.001 6.5795 7.5742
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_32 · geth
nobs 4224
R² 0.787
coef (ms) 1.368e-05
p-value 1.00e-03
95% CI [1.347e-05, 1.39e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.787
Model: NNLS Adj. R-squared: 0.787
No. Observations: 4224 RMSE: 13.21
Df Residuals: 4222 MAE: 10.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.6240 0.7066 0.001 19.2733 21.9593
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_32 · nethermind
nobs 1177
R² 0.8069
coef (ms) 7.441e-06
p-value 1.00e-03
95% CI [7.211e-06, 7.655e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.807
Model: NNLS Adj. R-squared: 0.807
No. Observations: 1177 RMSE: 6.76
Df Residuals: 1175 MAE: 4.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.7130 0.7429 0.001 11.3653 14.1358
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 256_32 · reth
nobs 99
R² 0.6973
coef (ms) 3.371e-06
p-value 1.00e-03
95% CI [3.003e-06, 3.818e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.697
Model: NNLS Adj. R-squared: 0.694
No. Observations: 99 RMSE: 4.12
Df Residuals: 97 MAE: 2.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.3353 1.0904 0.001 5.0791 9.3952
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_32 · besu
nobs 3773
R² 0.4676
coef (ms) 2.132e-05
p-value 1.00e-03
95% CI [2.058e-05, 2.202e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.468
Model: NNLS Adj. R-squared: 0.467
No. Observations: 3773 RMSE: 110.32
Df Residuals: 3771 MAE: 99.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 93.1383 5.4513 0.001 82.7023 103.8745
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_32 · erigon
nobs 253
R² 0.8376
coef (ms) 9.005e-06
p-value 1.00e-03
95% CI [8.486e-06, 9.81e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.838
Model: NNLS Adj. R-squared: 0.837
No. Observations: 253 RMSE: 19.23
Df Residuals: 251 MAE: 9.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.4173 4.4633 0.001 7.4338 24.6484
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_32 · ethrex
nobs 1606
R² 0.8035
coef (ms) 2.924e-06
p-value 1.00e-03
95% CI [2.855e-06, 3.003e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 1606 RMSE: 7.01
Df Residuals: 1604 MAE: 5.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.7858 0.5684 0.001 13.6444 15.8134
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_32 · geth
nobs 4224
R² 0.801
coef (ms) 1.191e-05
p-value 1.00e-03
95% CI [1.171e-05, 1.211e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.801
Model: NNLS Adj. R-squared: 0.801
No. Observations: 4224 RMSE: 28.78
Df Residuals: 4222 MAE: 22.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.6543 1.7013 0.001 52.4663 58.9866
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_32 · nethermind
nobs 1177
R² 0.846
coef (ms) 6.449e-06
p-value 1.00e-03
95% CI [6.293e-06, 6.603e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.846
Model: NNLS Adj. R-squared: 0.846
No. Observations: 1177 RMSE: 13.34
Df Residuals: 1175 MAE: 9.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.1513 1.2001 0.001 22.9416 27.6136
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RETURNDATACOPY · test_returndatacopy · combo 32_32 · reth
nobs 99
R² 0.8185
coef (ms) 2.995e-06
p-value 1.00e-03
95% CI [2.736e-06, 3.276e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.819
Model: NNLS Adj. R-squared: 0.817
No. Observations: 99 RMSE: 6.84
Df Residuals: 97 MAE: 5.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.3168 2.0938 0.001 7.9493 16.3953
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 0 · besu
nobs 3773
R² 0.6021
coef (ms) 1.101e-05
p-value 1.00e-03
95% CI [1.072e-05, 1.131e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.602
Model: NNLS Adj. R-squared: 0.602
No. Observations: 3773 RMSE: 70.65
Df Residuals: 3771 MAE: 61.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 78.6197 3.4966 0.001 71.4773 85.2911
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 0 · erigon
nobs 253
R² 0.6424
coef (ms) 4.772e-06
p-value 1.00e-03
95% CI [4.227e-06, 5.219e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.642
Model: NNLS Adj. R-squared: 0.641
No. Observations: 253 RMSE: 28.11
Df Residuals: 251 MAE: 10.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.3295 7.1131 0.001 13.7591 41.8321
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 0 · ethrex
nobs 1606
R² 0.7987
coef (ms) 1.656e-06
p-value 1.00e-03
95% CI [1.613e-06, 1.698e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.799
Model: NNLS Adj. R-squared: 0.799
No. Observations: 1606 RMSE: 6.56
Df Residuals: 1604 MAE: 5.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.0168 0.5521 0.001 11.9610 14.1139
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 0 · geth
nobs 4224
R² 0.7876
coef (ms) 6.485e-06
p-value 1.00e-03
95% CI [6.372e-06, 6.599e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.788
Model: NNLS Adj. R-squared: 0.788
No. Observations: 4224 RMSE: 26.58
Df Residuals: 4222 MAE: 20.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.3179 1.5377 0.001 43.2131 49.3707
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 0 · nethermind
nobs 1177
R² 0.6556
coef (ms) 1.722e-06
p-value 1.00e-03
95% CI [1.673e-06, 1.774e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.656
Model: NNLS Adj. R-squared: 0.655
No. Observations: 1177 RMSE: 9.85
Df Residuals: 1175 MAE: 4.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.2901 0.6484 0.001 12.0449 14.5319
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 0 · reth
nobs 99
R² 0.4775
coef (ms) 1.523e-06
p-value 1.00e-03
95% CI [1.166e-06, 1.898e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.477
Model: NNLS Adj. R-squared: 0.472
No. Observations: 99 RMSE: 12.57
Df Residuals: 97 MAE: 10.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.3030 4.5451 0.001 10.3607 28.3026
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 1024 · besu
nobs 3773
R² 0.5961
coef (ms) 1.132e-05
p-value 1.00e-03
95% CI [1.101e-05, 1.161e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.596
Model: NNLS Adj. R-squared: 0.596
No. Observations: 3773 RMSE: 73.55
Df Residuals: 3771 MAE: 63.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.4069 3.5823 0.001 69.4628 83.2481
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 1024 · erigon
nobs 253
R² 0.9395
coef (ms) 4.8e-06
p-value 1.00e-03
95% CI [4.633e-06, 4.94e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.940
Model: NNLS Adj. R-squared: 0.939
No. Observations: 253 RMSE: 9.61
Df Residuals: 251 MAE: 7.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.2340 2.0466 0.001 19.6189 27.7175
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 1024 · ethrex
nobs 1606
R² 0.8091
coef (ms) 1.658e-06
p-value 1.00e-03
95% CI [1.618e-06, 1.699e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.809
No. Observations: 1606 RMSE: 6.36
Df Residuals: 1604 MAE: 5.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.2046 0.5284 0.001 12.1979 14.2525
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 1024 · geth
nobs 4224
R² 0.7937
coef (ms) 6.61e-06
p-value 1.00e-03
95% CI [6.5e-06, 6.721e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.794
Model: NNLS Adj. R-squared: 0.794
No. Observations: 4224 RMSE: 26.60
Df Residuals: 4222 MAE: 20.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.3246 1.5068 0.001 42.4402 48.3798
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 1024 · nethermind
nobs 1177
R² 0.5177
coef (ms) 1.754e-06
p-value 1.00e-03
95% CI [1.649e-06, 1.869e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.518
Model: NNLS Adj. R-squared: 0.517
No. Observations: 1177 RMSE: 13.36
Df Residuals: 1175 MAE: 5.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.9669 1.2387 0.001 10.5630 15.2598
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 1024 · reth
nobs 99
R² 0.3302
coef (ms) 1.547e-06
p-value 1.00e-03
95% CI [1.169e-06, 1.955e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.330
Model: NNLS Adj. R-squared: 0.323
No. Observations: 99 RMSE: 17.39
Df Residuals: 97 MAE: 14.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.4977 5.0041 0.001 17.0906 36.9415
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 10240 · besu
nobs 3773
R² 0.59
coef (ms) 1.132e-05
p-value 1.00e-03
95% CI [1.104e-05, 1.161e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.590
Model: NNLS Adj. R-squared: 0.590
No. Observations: 3773 RMSE: 74.50
Df Residuals: 3771 MAE: 63.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 77.0201 3.6006 0.001 69.8995 83.4440
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 10240 · erigon
nobs 253
R² 0.6441
coef (ms) 5.105e-06
p-value 1.00e-03
95% CI [4.767e-06, 5.567e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.644
Model: NNLS Adj. R-squared: 0.643
No. Observations: 253 RMSE: 29.95
Df Residuals: 251 MAE: 10.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.1795 3.5321 0.001 10.3388 24.2924
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 10240 · ethrex
nobs 1606
R² 0.8016
coef (ms) 1.731e-06
p-value 1.00e-03
95% CI [1.688e-06, 1.773e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.802
Model: NNLS Adj. R-squared: 0.802
No. Observations: 1606 RMSE: 6.80
Df Residuals: 1604 MAE: 5.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.1719 0.5237 0.001 11.1711 13.1994
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 10240 · geth
nobs 4224
R² 0.7739
coef (ms) 6.604e-06
p-value 1.00e-03
95% CI [6.492e-06, 6.712e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.774
Model: NNLS Adj. R-squared: 0.774
No. Observations: 4224 RMSE: 28.18
Df Residuals: 4222 MAE: 20.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.5872 1.5226 0.001 42.7549 48.5479
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 10240 · nethermind
nobs 1177
R² 0.7163
coef (ms) 1.709e-06
p-value 1.00e-03
95% CI [1.639e-06, 1.782e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.716
Model: NNLS Adj. R-squared: 0.716
No. Observations: 1177 RMSE: 8.49
Df Residuals: 1175 MAE: 4.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.6433 0.8700 0.001 11.9923 15.3078
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 10240 · reth
nobs 99
R² 0.4123
coef (ms) 1.728e-06
p-value 1.00e-03
95% CI [1.325e-06, 2.21e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.412
Model: NNLS Adj. R-squared: 0.406
No. Observations: 99 RMSE: 16.28
Df Residuals: 97 MAE: 13.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.8005 5.5613 0.001 12.3545 34.1297
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 256 · besu
nobs 3773
R² 0.6242
coef (ms) 1.247e-05
p-value 1.00e-03
95% CI [1.215e-05, 1.278e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.624
Model: NNLS Adj. R-squared: 0.624
No. Observations: 3773 RMSE: 76.41
Df Residuals: 3771 MAE: 62.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 57.2482 3.5353 0.001 50.7661 64.5802
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 256 · erigon
nobs 253
R² 0.9335
coef (ms) 4.786e-06
p-value 1.00e-03
95% CI [4.627e-06, 4.94e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.934
Model: NNLS Adj. R-squared: 0.933
No. Observations: 253 RMSE: 10.08
Df Residuals: 251 MAE: 8.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.8917 1.9923 0.001 19.0966 26.9311
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 256 · ethrex
nobs 1606
R² 0.8145
coef (ms) 1.734e-06
p-value 1.00e-03
95% CI [1.689e-06, 1.784e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.814
Model: NNLS Adj. R-squared: 0.814
No. Observations: 1606 RMSE: 6.53
Df Residuals: 1604 MAE: 5.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.2530 0.5745 0.001 11.0682 13.3736
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 256 · geth
nobs 4224
R² 0.7918
coef (ms) 6.624e-06
p-value 1.00e-03
95% CI [6.516e-06, 6.745e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 4224 RMSE: 26.82
Df Residuals: 4222 MAE: 20.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.9372 1.5449 0.001 42.7792 48.8813
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 256 · nethermind
nobs 1177
R² 0.7064
coef (ms) 1.691e-06
p-value 1.00e-03
95% CI [1.633e-06, 1.751e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.706
Model: NNLS Adj. R-squared: 0.706
No. Observations: 1177 RMSE: 8.61
Df Residuals: 1175 MAE: 4.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.3461 0.7821 0.001 12.8480 15.9369
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 256 · reth
nobs 99
R² 0.3061
coef (ms) 1.664e-06
p-value 1.00e-03
95% CI [1.207e-06, 2.173e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.306
Model: NNLS Adj. R-squared: 0.299
No. Observations: 99 RMSE: 19.78
Df Residuals: 97 MAE: 16.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.3282 6.0310 0.001 19.2472 42.4399
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 32 · besu
nobs 3773
R² 0.5993
coef (ms) 1.108e-05
p-value 1.00e-03
95% CI [1.08e-05, 1.138e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.599
Model: NNLS Adj. R-squared: 0.599
No. Observations: 3773 RMSE: 71.54
Df Residuals: 3771 MAE: 61.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 77.9735 3.4921 0.001 70.6491 84.7172
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 32 · erigon
nobs 253
R² 0.5541
coef (ms) 4.897e-06
p-value 1.00e-03
95% CI [4.332e-06, 5.602e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.554
Model: NNLS Adj. R-squared: 0.552
No. Observations: 253 RMSE: 34.68
Df Residuals: 251 MAE: 11.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.0406 7.6158 0.001 9.4388 39.9330
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 32 · ethrex
nobs 1606
R² 0.8169
coef (ms) 1.658e-06
p-value 1.00e-03
95% CI [1.617e-06, 1.698e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.817
No. Observations: 1606 RMSE: 6.20
Df Residuals: 1604 MAE: 4.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.9733 0.5103 0.001 11.9797 13.9599
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 32 · geth
nobs 4224
R² 0.765
coef (ms) 6.554e-06
p-value 1.00e-03
95% CI [6.434e-06, 6.671e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.765
Model: NNLS Adj. R-squared: 0.765
No. Observations: 4224 RMSE: 28.68
Df Residuals: 4222 MAE: 20.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.9584 1.6456 0.001 44.7796 51.2058
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 32 · nethermind
nobs 1177
R² 0.8221
coef (ms) 1.724e-06
p-value 1.00e-03
95% CI [1.679e-06, 1.767e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.822
Model: NNLS Adj. R-squared: 0.822
No. Observations: 1177 RMSE: 6.33
Df Residuals: 1175 MAE: 4.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.2911 0.5644 0.001 12.2274 14.3988
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MLOAD · test_memory_access · combo 32 · reth
nobs 99
R² 0.4863
coef (ms) 1.594e-06
p-value 1.00e-03
95% CI [1.264e-06, 1.927e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.486
Model: NNLS Adj. R-squared: 0.481
No. Observations: 99 RMSE: 12.94
Df Residuals: 97 MAE: 10.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.7716 4.2288 0.001 7.7513 24.1478
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 0 · besu
nobs 3773
R² 0.8069
coef (ms) 1.647e-05
p-value 1.00e-03
95% CI [1.619e-05, 1.674e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.807
Model: NNLS Adj. R-squared: 0.807
No. Observations: 3773 RMSE: 56.55
Df Residuals: 3771 MAE: 45.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 104.4236 3.2308 0.001 98.1815 111.1744
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 0 · erigon
nobs 253
R² 0.9503
coef (ms) 5.981e-06
p-value 1.00e-03
95% CI [5.817e-06, 6.129e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.950
Model: NNLS Adj. R-squared: 0.950
No. Observations: 253 RMSE: 9.60
Df Residuals: 251 MAE: 8.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.9721 1.9996 0.001 20.2313 27.9623
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 0 · ethrex
nobs 1606
R² 0.78
coef (ms) 1.757e-06
p-value 1.00e-03
95% CI [1.713e-06, 1.8e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.780
Model: NNLS Adj. R-squared: 0.780
No. Observations: 1606 RMSE: 6.55
Df Residuals: 1604 MAE: 4.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.2084 0.4889 0.001 11.2184 13.1357
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 0 · geth
nobs 4224
R² 0.8041
coef (ms) 7.761e-06
p-value 1.00e-03
95% CI [7.638e-06, 7.891e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.804
No. Observations: 4224 RMSE: 26.88
Df Residuals: 4222 MAE: 21.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.6619 1.5358 0.001 50.4325 56.6155
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 0 · nethermind
nobs 1177
R² 0.8247
coef (ms) 2.036e-06
p-value 1.00e-03
95% CI [1.975e-06, 2.095e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.825
Model: NNLS Adj. R-squared: 0.825
No. Observations: 1177 RMSE: 6.59
Df Residuals: 1175 MAE: 4.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.2738 0.6813 0.001 12.9456 15.6009
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 0 · reth
nobs 99
R² 0.7519
coef (ms) 1.472e-06
p-value 1.00e-03
95% CI [1.325e-06, 1.634e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.752
Model: NNLS Adj. R-squared: 0.749
No. Observations: 99 RMSE: 5.93
Df Residuals: 97 MAE: 4.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.8564 1.7211 0.001 8.5061 15.1190
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 1024 · besu
nobs 3773
R² 0.8031
coef (ms) 1.636e-05
p-value 1.00e-03
95% CI [1.61e-05, 1.662e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 3773 RMSE: 56.83
Df Residuals: 3771 MAE: 46.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 105.8771 3.1585 0.001 99.7531 111.8687
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 1024 · erigon
nobs 253
R² 0.5751
coef (ms) 6.132e-06
p-value 1.00e-03
95% CI [5.86e-06, 6.488e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.575
Model: NNLS Adj. R-squared: 0.573
No. Observations: 253 RMSE: 36.99
Df Residuals: 251 MAE: 12.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.4209 2.6715 0.001 19.3470 29.5714
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 1024 · ethrex
nobs 1606
R² 0.8076
coef (ms) 1.776e-06
p-value 1.00e-03
95% CI [1.734e-06, 1.821e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.807
No. Observations: 1606 RMSE: 6.08
Df Residuals: 1604 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.8661 0.4840 0.001 10.9143 12.8080
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 1024 · geth
nobs 4224
R² 0.7735
coef (ms) 7.825e-06
p-value 1.00e-03
95% CI [7.674e-06, 7.967e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.773
Model: NNLS Adj. R-squared: 0.773
No. Observations: 4224 RMSE: 29.72
Df Residuals: 4222 MAE: 22.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.5034 1.6895 0.001 50.3366 57.1026
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 1024 · nethermind
nobs 1177
R² 0.7993
coef (ms) 2.09e-06
p-value 1.00e-03
95% CI [2.022e-06, 2.154e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.799
Model: NNLS Adj. R-squared: 0.799
No. Observations: 1177 RMSE: 7.35
Df Residuals: 1175 MAE: 5.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.7567 0.7654 0.001 12.3868 15.3361
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 1024 · reth
nobs 99
R² 0.7552
coef (ms) 3.568e-06
p-value 1.00e-03
95% CI [3.146e-06, 3.986e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.755
Model: NNLS Adj. R-squared: 0.753
No. Observations: 99 RMSE: 14.26
Df Residuals: 97 MAE: 10.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.2330 4.6877 0.001 15.8136 34.1405
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 10240 · besu
nobs 3773
R² 0.8019
coef (ms) 1.645e-05
p-value 1.00e-03
95% CI [1.619e-05, 1.672e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.802
Model: NNLS Adj. R-squared: 0.802
No. Observations: 3773 RMSE: 57.38
Df Residuals: 3771 MAE: 46.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 104.3106 3.2492 0.001 98.0747 110.2790
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 10240 · erigon
nobs 253
R² 0.9455
coef (ms) 5.925e-06
p-value 1.00e-03
95% CI [5.743e-06, 6.089e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.946
Model: NNLS Adj. R-squared: 0.945
No. Observations: 253 RMSE: 9.98
Df Residuals: 251 MAE: 8.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.6258 2.0981 0.001 20.6601 28.9736
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 10240 · ethrex
nobs 1606
R² 0.8264
coef (ms) 1.781e-06
p-value 1.00e-03
95% CI [1.735e-06, 1.824e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 1606 RMSE: 5.73
Df Residuals: 1604 MAE: 4.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.3845 0.4889 0.001 10.4289 12.3269
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 10240 · geth
nobs 4224
R² 0.786
coef (ms) 7.796e-06
p-value 1.00e-03
95% CI [7.664e-06, 7.94e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.786
Model: NNLS Adj. R-squared: 0.786
No. Observations: 4224 RMSE: 28.55
Df Residuals: 4222 MAE: 21.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.7329 1.6288 0.001 50.4826 56.9516
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 10240 · nethermind
nobs 1177
R² 0.8277
coef (ms) 2.015e-06
p-value 1.00e-03
95% CI [1.957e-06, 2.073e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.828
Model: NNLS Adj. R-squared: 0.828
No. Observations: 1177 RMSE: 6.45
Df Residuals: 1175 MAE: 4.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.8908 0.6668 0.001 13.5367 16.1979
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 10240 · reth
nobs 99
R² 0.8183
coef (ms) 3.632e-06
p-value 1.00e-03
95% CI [3.302e-06, 3.966e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.816
No. Observations: 99 RMSE: 12.01
Df Residuals: 97 MAE: 9.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.1246 4.0830 0.001 14.0533 30.3183
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 256 · besu
nobs 3773
R² 0.808
coef (ms) 1.634e-05
p-value 1.00e-03
95% CI [1.609e-05, 1.659e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.808
No. Observations: 3773 RMSE: 55.91
Df Residuals: 3771 MAE: 46.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 105.9726 3.0236 0.001 100.0890 111.8071
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 256 · erigon
nobs 253
R² 0.7848
coef (ms) 6.249e-06
p-value 1.00e-03
95% CI [5.897e-06, 6.89e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.785
Model: NNLS Adj. R-squared: 0.784
No. Observations: 253 RMSE: 22.97
Df Residuals: 251 MAE: 9.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.0708 4.4250 0.001 9.6275 26.9219
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 256 · ethrex
nobs 1606
R² 0.8214
coef (ms) 1.733e-06
p-value 1.00e-03
95% CI [1.692e-06, 1.776e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.821
Model: NNLS Adj. R-squared: 0.821
No. Observations: 1606 RMSE: 5.67
Df Residuals: 1604 MAE: 4.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6394 0.4956 0.001 11.6526 13.6087
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 256 · geth
nobs 4224
R² 0.785
coef (ms) 7.748e-06
p-value 1.00e-03
95% CI [7.616e-06, 7.886e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.785
Model: NNLS Adj. R-squared: 0.785
No. Observations: 4224 RMSE: 28.46
Df Residuals: 4222 MAE: 21.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.8140 1.6247 0.001 51.5817 57.8713
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 256 · nethermind
nobs 1177
R² 0.5911
coef (ms) 2.027e-06
p-value 1.00e-03
95% CI [1.942e-06, 2.103e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.591
Model: NNLS Adj. R-squared: 0.591
No. Observations: 1177 RMSE: 11.83
Df Residuals: 1175 MAE: 5.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.2669 1.1085 0.001 13.3178 17.5115
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 256 · reth
nobs 99
R² 0.7921
coef (ms) 3.393e-06
p-value 1.00e-03
95% CI [3.032e-06, 3.741e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.790
No. Observations: 99 RMSE: 12.20
Df Residuals: 97 MAE: 9.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.3380 3.9836 0.001 21.3533 37.0566
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 32 · besu
nobs 3773
R² 0.8154
coef (ms) 1.617e-05
p-value 1.00e-03
95% CI [1.593e-05, 1.641e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.815
No. Observations: 3773 RMSE: 53.98
Df Residuals: 3771 MAE: 44.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 111.0831 2.8733 0.001 105.6697 116.8050
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 32 · erigon
nobs 253
R² 0.5256
coef (ms) 5.363e-06
p-value 1.00e-03
95% CI [4.431e-06, 5.95e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.526
Model: NNLS Adj. R-squared: 0.524
No. Observations: 253 RMSE: 35.75
Df Residuals: 251 MAE: 12.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.6549 10.7109 0.001 24.8639 66.8365
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 32 · ethrex
nobs 1606
R² 0.7703
coef (ms) 1.742e-06
p-value 1.00e-03
95% CI [1.694e-06, 1.791e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.770
No. Observations: 1606 RMSE: 6.68
Df Residuals: 1604 MAE: 4.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.8305 0.5467 0.001 11.7783 13.9075
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 32 · geth
nobs 4224
R² 0.8023
coef (ms) 7.789e-06
p-value 1.00e-03
95% CI [7.665e-06, 7.907e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.802
Model: NNLS Adj. R-squared: 0.802
No. Observations: 4224 RMSE: 27.13
Df Residuals: 4222 MAE: 21.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.6671 1.5095 0.001 50.8069 56.6884
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 32 · nethermind
nobs 1177
R² 0.6011
coef (ms) 2.045e-06
p-value 1.00e-03
95% CI [1.971e-06, 2.115e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.601
Model: NNLS Adj. R-squared: 0.601
No. Observations: 1177 RMSE: 11.69
Df Residuals: 1175 MAE: 5.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.5572 0.9254 0.001 12.8436 16.4956
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE · test_memory_access · combo 32 · reth
nobs 99
R² 0.7379
coef (ms) 1.527e-06
p-value 1.00e-03
95% CI [1.326e-06, 1.749e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.738
Model: NNLS Adj. R-squared: 0.735
No. Observations: 99 RMSE: 6.39
Df Residuals: 97 MAE: 4.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.6714 2.1832 0.001 9.3135 17.6829
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 0 · besu
nobs 3773
R² 0.5405
coef (ms) 1.108e-05
p-value 1.00e-03
95% CI [1.074e-05, 1.139e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.540
Model: NNLS Adj. R-squared: 0.540
No. Observations: 3773 RMSE: 71.69
Df Residuals: 3771 MAE: 63.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.0238 3.4272 0.001 63.5725 76.8965
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 0 · erigon
nobs 253
R² 0.4458
coef (ms) 5.269e-06
p-value 1.00e-03
95% CI [4.535e-06, 5.975e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.446
Model: NNLS Adj. R-squared: 0.444
No. Observations: 253 RMSE: 41.23
Df Residuals: 251 MAE: 12.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.2872 9.0621 0.001 13.6522 48.2815
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 0 · ethrex
nobs 1606
R² 0.7282
coef (ms) 1.642e-06
p-value 1.00e-03
95% CI [1.593e-06, 1.693e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.728
Model: NNLS Adj. R-squared: 0.728
No. Observations: 1606 RMSE: 7.04
Df Residuals: 1604 MAE: 4.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.3885 0.5957 0.001 11.2144 13.5356
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 0 · geth
nobs 4224
R² 0.7721
coef (ms) 7.106e-06
p-value 1.00e-03
95% CI [6.98e-06, 7.238e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.772
Model: NNLS Adj. R-squared: 0.772
No. Observations: 4224 RMSE: 27.10
Df Residuals: 4222 MAE: 20.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.3520 1.5230 0.001 48.3692 54.3076
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 0 · nethermind
nobs 1177
R² 0.7095
coef (ms) 1.988e-06
p-value 1.00e-03
95% CI [1.922e-06, 2.052e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.709
Model: NNLS Adj. R-squared: 0.709
No. Observations: 1177 RMSE: 8.93
Df Residuals: 1175 MAE: 4.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.6245 0.7270 0.001 12.1457 15.1017
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 0 · reth
nobs 99
R² 0.7713
coef (ms) 1.437e-06
p-value 1.00e-03
95% CI [1.289e-06, 1.605e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.771
Model: NNLS Adj. R-squared: 0.769
No. Observations: 99 RMSE: 5.49
Df Residuals: 97 MAE: 4.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.0792 1.7882 0.001 6.4898 13.6197
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 1024 · besu
nobs 3773
R² 0.5206
coef (ms) 1.067e-05
p-value 1.00e-03
95% CI [1.034e-05, 1.1e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.521
Model: NNLS Adj. R-squared: 0.520
No. Observations: 3773 RMSE: 71.84
Df Residuals: 3771 MAE: 64.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 87.2968 3.6209 0.001 80.2952 94.3912
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 1024 · erigon
nobs 253
R² 0.5455
coef (ms) 4.956e-06
p-value 1.00e-03
95% CI [4.157e-06, 5.41e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.546
Model: NNLS Adj. R-squared: 0.544
No. Observations: 253 RMSE: 31.75
Df Residuals: 251 MAE: 9.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.5658 9.5365 0.001 21.5538 55.4482
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 1024 · ethrex
nobs 1606
R² 0.7837
coef (ms) 1.69e-06
p-value 1.00e-03
95% CI [1.637e-06, 1.739e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.784
Model: NNLS Adj. R-squared: 0.784
No. Observations: 1606 RMSE: 6.23
Df Residuals: 1604 MAE: 4.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.0486 0.5061 0.001 10.0304 12.1248
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 1024 · geth
nobs 4224
R² 0.7631
coef (ms) 7.122e-06
p-value 1.00e-03
95% CI [6.997e-06, 7.251e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.763
Model: NNLS Adj. R-squared: 0.763
No. Observations: 4224 RMSE: 27.85
Df Residuals: 4222 MAE: 20.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.7589 1.5792 0.001 48.5618 54.7726
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 1024 · nethermind
nobs 1177
R² 0.7412
coef (ms) 1.977e-06
p-value 1.00e-03
95% CI [1.906e-06, 2.039e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.741
Model: NNLS Adj. R-squared: 0.741
No. Observations: 1177 RMSE: 8.20
Df Residuals: 1175 MAE: 4.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.1307 0.7856 0.001 12.6555 15.8278
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 1024 · reth
nobs 99
R² 0.6414
coef (ms) 1.195e-06
p-value 1.00e-03
95% CI [1.019e-06, 1.399e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.641
Model: NNLS Adj. R-squared: 0.638
No. Observations: 99 RMSE: 6.27
Df Residuals: 97 MAE: 4.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.5357 2.0015 0.001 9.2616 17.4324
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 10240 · besu
nobs 3773
R² 0.5396
coef (ms) 1.111e-05
p-value 1.00e-03
95% CI [1.081e-05, 1.145e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.540
Model: NNLS Adj. R-squared: 0.539
No. Observations: 3773 RMSE: 71.99
Df Residuals: 3771 MAE: 63.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.3851 3.5058 0.001 63.4296 76.8797
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 10240 · erigon
nobs 253
R² 0.6925
coef (ms) 5.095e-06
p-value 1.00e-03
95% CI [4.641e-06, 5.399e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.692
Model: NNLS Adj. R-squared: 0.691
No. Observations: 253 RMSE: 23.83
Df Residuals: 251 MAE: 8.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.2262 5.6749 0.001 21.9542 43.5081
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 10240 · ethrex
nobs 1606
R² 0.7829
coef (ms) 1.614e-06
p-value 1.00e-03
95% CI [1.567e-06, 1.664e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.783
Model: NNLS Adj. R-squared: 0.783
No. Observations: 1606 RMSE: 5.96
Df Residuals: 1604 MAE: 4.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.4571 0.5351 0.001 11.4333 13.4773
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 10240 · geth
nobs 4224
R² 0.7795
coef (ms) 7.281e-06
p-value 1.00e-03
95% CI [7.157e-06, 7.408e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.780
Model: NNLS Adj. R-squared: 0.779
No. Observations: 4224 RMSE: 27.17
Df Residuals: 4222 MAE: 20.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.9441 1.4498 0.001 45.0823 50.8664
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 10240 · nethermind
nobs 1177
R² 0.6074
coef (ms) 1.973e-06
p-value 1.00e-03
95% CI [1.91e-06, 2.035e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.607
Model: NNLS Adj. R-squared: 0.607
No. Observations: 1177 RMSE: 11.13
Df Residuals: 1175 MAE: 5.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.3236 0.8282 0.001 12.8104 16.0391
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 10240 · reth
nobs 99
R² 0.6895
coef (ms) 1.158e-06
p-value 1.00e-03
95% CI [9.802e-07, 1.363e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.690
Model: NNLS Adj. R-squared: 0.686
No. Observations: 99 RMSE: 5.45
Df Residuals: 97 MAE: 4.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.8201 2.0286 0.001 10.5438 18.7472
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 256 · besu
nobs 3773
R² 0.541
coef (ms) 1.108e-05
p-value 1.00e-03
95% CI [1.076e-05, 1.142e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.541
Model: NNLS Adj. R-squared: 0.541
No. Observations: 3773 RMSE: 71.65
Df Residuals: 3771 MAE: 63.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 69.3017 3.6446 0.001 62.1279 76.4028
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 256 · erigon
nobs 253
R² 0.6124
coef (ms) 4.952e-06
p-value 1.00e-03
95% CI [4.029e-06, 5.46e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.612
Model: NNLS Adj. R-squared: 0.611
No. Observations: 253 RMSE: 27.65
Df Residuals: 251 MAE: 9.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.1904 10.2699 0.001 21.3966 58.1838
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 256 · ethrex
nobs 1606
R² 0.8031
coef (ms) 1.669e-06
p-value 1.00e-03
95% CI [1.629e-06, 1.713e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 1606 RMSE: 5.80
Df Residuals: 1604 MAE: 4.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.4524 0.4767 0.001 10.5286 12.3515
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 256 · geth
nobs 4224
R² 0.7665
coef (ms) 7.217e-06
p-value 1.00e-03
95% CI [7.086e-06, 7.358e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.767
Model: NNLS Adj. R-squared: 0.766
No. Observations: 4224 RMSE: 27.95
Df Residuals: 4222 MAE: 20.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.7865 1.5692 0.001 46.6478 52.9909
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 256 · nethermind
nobs 1177
R² 0.6689
coef (ms) 1.91e-06
p-value 1.00e-03
95% CI [1.803e-06, 2.001e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.669
Model: NNLS Adj. R-squared: 0.669
No. Observations: 1177 RMSE: 9.43
Df Residuals: 1175 MAE: 4.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.7987 1.2955 0.001 13.5216 18.5269
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 256 · reth
nobs 99
R² 0.7453
coef (ms) 1.357e-06
p-value 1.00e-03
95% CI [1.201e-06, 1.516e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.745
Model: NNLS Adj. R-squared: 0.743
No. Observations: 99 RMSE: 5.57
Df Residuals: 97 MAE: 4.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.9216 1.7396 0.001 6.4422 13.2854
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 32 · besu
nobs 3773
R² 0.5454
coef (ms) 1.113e-05
p-value 1.00e-03
95% CI [1.081e-05, 1.146e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.545
Model: NNLS Adj. R-squared: 0.545
No. Observations: 3773 RMSE: 71.29
Df Residuals: 3771 MAE: 63.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 68.8588 3.5607 0.001 61.9996 75.3113
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 32 · erigon
nobs 253
R² 0.6556
coef (ms) 5.184e-06
p-value 1.00e-03
95% CI [4.784e-06, 5.448e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.656
Model: NNLS Adj. R-squared: 0.654
No. Observations: 253 RMSE: 26.37
Df Residuals: 251 MAE: 9.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.1690 5.2589 0.001 21.5870 41.5778
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 32 · ethrex
nobs 1606
R² 0.7826
coef (ms) 1.655e-06
p-value 1.00e-03
95% CI [1.609e-06, 1.706e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.783
Model: NNLS Adj. R-squared: 0.782
No. Observations: 1606 RMSE: 6.12
Df Residuals: 1604 MAE: 4.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.6497 0.4987 0.001 10.6424 12.5988
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 32 · geth
nobs 4224
R² 0.7646
coef (ms) 7.223e-06
p-value 1.00e-03
95% CI [7.09e-06, 7.36e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.765
Model: NNLS Adj. R-squared: 0.765
No. Observations: 4224 RMSE: 28.12
Df Residuals: 4222 MAE: 20.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.4560 1.6086 0.001 46.3508 52.5675
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 32 · nethermind
nobs 1177
R² 0.8336
coef (ms) 1.98e-06
p-value 1.00e-03
95% CI [1.923e-06, 2.035e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.833
No. Observations: 1177 RMSE: 6.21
Df Residuals: 1175 MAE: 4.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.6544 0.6604 0.001 12.4169 14.9706
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSTORE8 · test_memory_access · combo 32 · reth
nobs 99
R² 0.3023
coef (ms) 1.143e-06
p-value 1.00e-03
95% CI [6.812e-07, 1.444e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.302
Model: NNLS Adj. R-squared: 0.295
No. Observations: 99 RMSE: 12.19
Df Residuals: 97 MAE: 6.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.7420 5.3335 0.001 8.9870 29.2421
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSIZE · test_msize · besu
nobs 3773
R² 0.5734
coef (ms) 3.795e-06
p-value 1.00e-03
95% CI [3.683e-06, 3.899e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.573
Model: NNLS Adj. R-squared: 0.573
No. Observations: 3773 RMSE: 97.14
Df Residuals: 3771 MAE: 86.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 109.7447 4.7747 0.001 100.8741 119.7882
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSIZE · test_msize · erigon
nobs 253
R² 0.9378
coef (ms) 1.572e-06
p-value 1.00e-03
95% CI [1.519e-06, 1.628e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.938
Model: NNLS Adj. R-squared: 0.938
No. Observations: 253 RMSE: 12.02
Df Residuals: 251 MAE: 9.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.6308 2.5419 0.001 18.6452 28.5897
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSIZE · test_msize · ethrex
nobs 1606
R² 0.815
coef (ms) 5.595e-07
p-value 1.00e-03
95% CI [5.463e-07, 5.73e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.815
No. Observations: 1606 RMSE: 7.91
Df Residuals: 1604 MAE: 6.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.7348 0.6545 0.001 15.4019 18.0051
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSIZE · test_msize · geth
nobs 4224
R² 0.8002
coef (ms) 1.67e-06
p-value 1.00e-03
95% CI [1.644e-06, 1.696e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.800
No. Observations: 4224 RMSE: 24.77
Df Residuals: 4222 MAE: 19.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.1427 1.3055 0.001 38.6456 43.6084
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSIZE · test_msize · nethermind
nobs 1177
R² 0.8414
coef (ms) 7.518e-07
p-value 1.00e-03
95% CI [7.33e-07, 7.713e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.841
No. Observations: 1177 RMSE: 9.69
Df Residuals: 1175 MAE: 7.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.6332 0.8740 0.001 21.8933 25.3188
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MSIZE · test_msize · reth
nobs 99
R² 0.8387
coef (ms) 4.995e-07
p-value 1.00e-03
95% CI [4.542e-07, 5.475e-07]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.837
No. Observations: 99 RMSE: 6.50
Df Residuals: 97 MAE: 5.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6129 1.9930 0.001 8.4710 16.4839
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_0 · besu
nobs 3773
R² 0.454
coef (ms) 1.306e-05
p-value 1.00e-03
95% CI [1.261e-05, 1.351e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.454
Model: NNLS Adj. R-squared: 0.454
No. Observations: 3773 RMSE: 75.39
Df Residuals: 3771 MAE: 65.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 151.1587 3.6583 0.001 144.3463 158.5663
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_0 · erigon
nobs 253
R² 0.5117
coef (ms) 6.905e-06
p-value 1.00e-03
95% CI [6.21e-06, 7.348e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.512
Model: NNLS Adj. R-squared: 0.510
No. Observations: 253 RMSE: 35.50
Df Residuals: 251 MAE: 11.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.7686 6.4425 0.001 20.2204 44.5731
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_0 · ethrex
nobs 1606
R² 0.8045
coef (ms) 2.658e-06
p-value 1.00e-03
95% CI [2.587e-06, 2.721e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.804
No. Observations: 1606 RMSE: 6.89
Df Residuals: 1604 MAE: 5.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.6421 0.5639 0.001 13.6111 15.7725
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_0 · geth
nobs 4224
R² 0.7727
coef (ms) 9.491e-06
p-value 1.00e-03
95% CI [9.319e-06, 9.653e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.773
Model: NNLS Adj. R-squared: 0.773
No. Observations: 4224 RMSE: 27.10
Df Residuals: 4222 MAE: 19.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.1704 1.5311 0.001 60.2508 66.4268
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_0 · nethermind
nobs 1177
R² 0.9697
coef (ms) 1.392e-05
p-value 1.00e-03
95% CI [1.378e-05, 1.406e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.970
No. Observations: 1177 RMSE: 12.95
Df Residuals: 1175 MAE: 11.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.2375 1.0538 0.001 2.1780 6.2115
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_0 · reth
nobs 99
R² 0.764
coef (ms) 2.03e-06
p-value 1.00e-03
95% CI [1.787e-06, 2.276e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.764
Model: NNLS Adj. R-squared: 0.762
No. Observations: 99 RMSE: 5.94
Df Residuals: 97 MAE: 4.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.4487 1.8679 0.001 6.9404 14.0112
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_1024 · besu
nobs 3773
R² 0.5426
coef (ms) 1.58e-05
p-value 1.00e-03
95% CI [1.533e-05, 1.628e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.543
Model: NNLS Adj. R-squared: 0.542
No. Observations: 3773 RMSE: 76.32
Df Residuals: 3771 MAE: 66.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 73.9751 3.7277 0.001 66.6881 81.4314
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_1024 · erigon
nobs 253
R² 0.6953
coef (ms) 7.314e-06
p-value 1.00e-03
95% CI [7.014e-06, 7.732e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.695
Model: NNLS Adj. R-squared: 0.694
No. Observations: 253 RMSE: 25.47
Df Residuals: 251 MAE: 9.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.6295 2.0978 0.001 17.9866 26.5368
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_1024 · ethrex
nobs 1606
R² 0.7226
coef (ms) 2.802e-06
p-value 1.00e-03
95% CI [2.719e-06, 2.895e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.723
Model: NNLS Adj. R-squared: 0.722
No. Observations: 1606 RMSE: 9.13
Df Residuals: 1604 MAE: 6.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.3221 0.7526 0.001 13.8063 16.7012
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_1024 · geth
nobs 4224
R² 0.7608
coef (ms) 1.009e-05
p-value 1.00e-03
95% CI [9.931e-06, 1.028e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.761
Model: NNLS Adj. R-squared: 0.761
No. Observations: 4224 RMSE: 29.77
Df Residuals: 4222 MAE: 22.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.9095 1.5343 0.001 46.7741 52.7782
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_1024 · nethermind
nobs 1177
R² 0.9657
coef (ms) 1.396e-05
p-value 1.00e-03
95% CI [1.381e-05, 1.413e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 1177 RMSE: 13.85
Df Residuals: 1175 MAE: 11.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.3748 1.1728 0.003 0.9600 5.5178
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_1024 · reth
nobs 99
R² 0.7661
coef (ms) 1.871e-06
p-value 1.00e-03
95% CI [1.64e-06, 2.091e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.766
Model: NNLS Adj. R-squared: 0.764
No. Observations: 99 RMSE: 5.44
Df Residuals: 97 MAE: 4.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.1050 1.8262 0.001 9.5225 16.7549
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_10240 · besu
nobs 3773
R² 0.5358
coef (ms) 1.577e-05
p-value 1.00e-03
95% CI [1.526e-05, 1.626e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.536
Model: NNLS Adj. R-squared: 0.536
No. Observations: 3773 RMSE: 77.23
Df Residuals: 3771 MAE: 67.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.2065 3.9168 0.001 66.4646 81.8684
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_10240 · erigon
nobs 253
R² 0.7143
coef (ms) 7.5e-06
p-value 1.00e-03
95% CI [7.066e-06, 8.229e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.714
Model: NNLS Adj. R-squared: 0.713
No. Observations: 253 RMSE: 24.95
Df Residuals: 251 MAE: 9.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.0204 3.6149 0.001 10.6890 24.8322
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_10240 · ethrex
nobs 1606
R² 0.7424
coef (ms) 2.644e-06
p-value 1.00e-03
95% CI [2.567e-06, 2.715e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.742
Model: NNLS Adj. R-squared: 0.742
No. Observations: 1606 RMSE: 8.19
Df Residuals: 1604 MAE: 6.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.0391 0.6536 0.001 14.8176 17.2943
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_10240 · geth
nobs 4224
R² 0.7756
coef (ms) 9.886e-06
p-value 1.00e-03
95% CI [9.694e-06, 1.006e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.776
Model: NNLS Adj. R-squared: 0.776
No. Observations: 4224 RMSE: 27.97
Df Residuals: 4222 MAE: 21.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.9764 1.6386 0.001 50.6222 57.3112
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_10240 · nethermind
nobs 1177
R² 0.9719
coef (ms) 1.392e-05
p-value 1.00e-03
95% CI [1.377e-05, 1.407e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 1177 RMSE: 12.45
Df Residuals: 1175 MAE: 11.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.8706 1.0630 0.001 1.6332 5.9140
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_10240 · reth
nobs 99
R² 0.7731
coef (ms) 1.946e-06
p-value 1.00e-03
95% CI [1.713e-06, 2.182e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.773
Model: NNLS Adj. R-squared: 0.771
No. Observations: 99 RMSE: 5.54
Df Residuals: 97 MAE: 4.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.8145 1.9458 0.001 8.1265 15.5349
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_1048576 · besu
nobs 3773
R² 0.5318
coef (ms) 1.55e-05
p-value 1.00e-03
95% CI [1.505e-05, 1.595e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.532
Model: NNLS Adj. R-squared: 0.532
No. Observations: 3773 RMSE: 66.59
Df Residuals: 3771 MAE: 58.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 68.4656 3.2319 0.001 62.1047 74.9399
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_1048576 · erigon
nobs 253
R² 0.9421
coef (ms) 7.08e-06
p-value 1.00e-03
95% CI [6.85e-06, 7.275e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.942
No. Observations: 253 RMSE: 8.04
Df Residuals: 251 MAE: 6.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.9951 1.6476 0.001 20.0863 26.3794
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_1048576 · ethrex
nobs 1606
R² 0.7813
coef (ms) 2.691e-06
p-value 1.00e-03
95% CI [2.618e-06, 2.766e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.781
Model: NNLS Adj. R-squared: 0.781
No. Observations: 1606 RMSE: 6.52
Df Residuals: 1604 MAE: 5.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.1673 0.5164 0.001 13.1659 15.1703
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_1048576 · geth
nobs 4224
R² 0.7341
coef (ms) 1.007e-05
p-value 1.00e-03
95% CI [9.868e-06, 1.027e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.734
Model: NNLS Adj. R-squared: 0.734
No. Observations: 4224 RMSE: 27.76
Df Residuals: 4222 MAE: 21.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.5753 1.5241 0.001 46.5483 52.6838
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_1048576 · nethermind
nobs 1177
R² 0.9529
coef (ms) 1.393e-05
p-value 1.00e-03
95% CI [1.377e-05, 1.407e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.953
No. Observations: 1177 RMSE: 14.18
Df Residuals: 1175 MAE: 10.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.1510 0.9636 0.001 2.3541 6.1030
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_1048576 · reth
nobs 99
R² 0.7862
coef (ms) 1.904e-06
p-value 1.00e-03
95% CI [1.718e-06, 2.086e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.786
Model: NNLS Adj. R-squared: 0.784
No. Observations: 99 RMSE: 4.55
Df Residuals: 97 MAE: 3.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.0233 1.3595 0.001 8.4840 13.8024
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_256 · besu
nobs 3773
R² 0.5419
coef (ms) 1.564e-05
p-value 1.00e-03
95% CI [1.521e-05, 1.609e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.542
Model: NNLS Adj. R-squared: 0.542
No. Observations: 3773 RMSE: 75.63
Df Residuals: 3771 MAE: 66.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 71.6488 3.7080 0.001 64.2638 78.5003
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_256 · erigon
nobs 253
R² 0.5467
coef (ms) 7.511e-06
p-value 1.00e-03
95% CI [7.048e-06, 8.194e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.547
Model: NNLS Adj. R-squared: 0.545
No. Observations: 253 RMSE: 35.98
Df Residuals: 251 MAE: 11.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.0891 3.6054 0.001 12.3650 25.8893
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_256 · ethrex
nobs 1606
R² 0.7858
coef (ms) 2.659e-06
p-value 1.00e-03
95% CI [2.589e-06, 2.731e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.786
Model: NNLS Adj. R-squared: 0.786
No. Observations: 1606 RMSE: 7.30
Df Residuals: 1604 MAE: 5.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.9470 0.5940 0.001 13.8334 16.0607
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_256 · geth
nobs 4224
R² 0.7641
coef (ms) 9.723e-06
p-value 1.00e-03
95% CI [9.539e-06, 9.884e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.764
Model: NNLS Adj. R-squared: 0.764
No. Observations: 4224 RMSE: 28.42
Df Residuals: 4222 MAE: 20.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.1202 1.5714 0.001 53.1820 59.2712
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_256 · nethermind
nobs 1177
R² 0.9593
coef (ms) 1.397e-05
p-value 1.00e-03
95% CI [1.381e-05, 1.418e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.959
Model: NNLS Adj. R-squared: 0.959
No. Observations: 1177 RMSE: 15.14
Df Residuals: 1175 MAE: 11.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.3165 1.3064 0.013 0.3705 5.5596
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_256 · reth
nobs 99
R² 0.7803
coef (ms) 1.799e-06
p-value 1.00e-03
95% CI [1.619e-06, 1.979e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.780
Model: NNLS Adj. R-squared: 0.778
No. Observations: 99 RMSE: 5.02
Df Residuals: 97 MAE: 3.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.2599 1.4453 0.001 10.5003 16.1711
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_32 · besu
nobs 3773
R² 0.544
coef (ms) 1.578e-05
p-value 1.00e-03
95% CI [1.532e-05, 1.626e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.544
Model: NNLS Adj. R-squared: 0.544
No. Observations: 3773 RMSE: 75.99
Df Residuals: 3771 MAE: 66.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.7282 3.6617 0.001 63.3928 77.7680
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_32 · erigon
nobs 253
R² 0.5188
coef (ms) 7.852e-06
p-value 1.00e-03
95% CI [7.006e-06, 8.968e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.519
Model: NNLS Adj. R-squared: 0.517
No. Observations: 253 RMSE: 39.78
Df Residuals: 251 MAE: 12.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.2730 7.1151 0.029 0.0000 27.2313
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_32 · ethrex
nobs 1606
R² 0.7407
coef (ms) 2.767e-06
p-value 1.00e-03
95% CI [2.681e-06, 2.854e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.741
Model: NNLS Adj. R-squared: 0.740
No. Observations: 1606 RMSE: 8.61
Df Residuals: 1604 MAE: 6.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.7288 0.7358 0.001 13.3522 16.1864
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_32 · geth
nobs 4224
R² 0.7827
coef (ms) 9.953e-06
p-value 1.00e-03
95% CI [9.787e-06, 1.013e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.783
Model: NNLS Adj. R-squared: 0.783
No. Observations: 4224 RMSE: 27.59
Df Residuals: 4222 MAE: 20.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.7818 1.5355 0.001 48.6902 54.5965
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_32 · nethermind
nobs 1177
R² 0.9719
coef (ms) 1.391e-05
p-value 1.00e-03
95% CI [1.378e-05, 1.406e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 1177 RMSE: 12.44
Df Residuals: 1175 MAE: 11.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.8681 1.0319 0.001 1.7095 5.7177
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 0_32 · reth
nobs 99
R² 0.7657
coef (ms) 1.839e-06
p-value 1.00e-03
95% CI [1.615e-06, 2.077e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.766
Model: NNLS Adj. R-squared: 0.763
No. Observations: 99 RMSE: 5.35
Df Residuals: 97 MAE: 4.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.1648 2.0810 0.001 8.9412 17.0533
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_0 · besu
nobs 3773
R² 0.9273
coef (ms) 4.658e-05
p-value 1.00e-03
95% CI [4.61e-05, 4.709e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.927
No. Observations: 3773 RMSE: 7.63
Df Residuals: 3771 MAE: 5.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.9337 0.5338 0.001 16.8938 18.9577
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_0 · erigon
nobs 253
R² 0.001554
coef (ms) 2.954e-06
p-value 2.49e-01
95% CI [0, 8.561e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.002
Model: NNLS Adj. R-squared: -0.002
No. Observations: 253 RMSE: 43.79
Df Residuals: 251 MAE: 8.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.8875 7.8603 0.001 11.6963 37.7017
opcount 0.0000 0.0000 0.249 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_0 · ethrex
nobs 1606
R² 0.757
coef (ms) 3.953e-06
p-value 1.00e-03
95% CI [3.842e-06, 4.071e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.757
Model: NNLS Adj. R-squared: 0.757
No. Observations: 1606 RMSE: 1.31
Df Residuals: 1604 MAE: 0.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.9923 0.1013 0.001 3.7923 4.1910
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_0 · geth
nobs 4224
R² 0.6346
coef (ms) 1.152e-05
p-value 1.00e-03
95% CI [1.124e-05, 1.18e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.635
Model: NNLS Adj. R-squared: 0.635
No. Observations: 4224 RMSE: 5.11
Df Residuals: 4222 MAE: 3.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.1291 0.2877 0.001 8.5692 9.7018
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_0 · nethermind
nobs 1177
R² 0.8162
coef (ms) 1.654e-05
p-value 1.00e-03
95% CI [1.619e-05, 1.681e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.816
Model: NNLS Adj. R-squared: 0.816
No. Observations: 1177 RMSE: 4.59
Df Residuals: 1175 MAE: 1.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.6875 0.3945 0.001 3.0704 4.6183
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_0 · reth
nobs 99
R² 0.5856
coef (ms) 2.811e-06
p-value 1.00e-03
95% CI [2.293e-06, 3.309e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.586
Model: NNLS Adj. R-squared: 0.581
No. Observations: 99 RMSE: 1.38
Df Residuals: 97 MAE: 1.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.1866 0.4905 0.001 2.2379 4.1651
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_1024 · besu
nobs 3773
R² 0.9593
coef (ms) 4.985e-05
p-value 1.00e-03
95% CI [4.949e-05, 5.018e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.959
Model: NNLS Adj. R-squared: 0.959
No. Observations: 3773 RMSE: 6.01
Df Residuals: 3771 MAE: 4.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.6874 0.3163 0.001 10.0782 11.3418
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_1024 · erigon
nobs 253
R² 0.002511
coef (ms) 3.881e-06
p-value 2.57e-01
95% CI [0, 1.123e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.003
Model: NNLS Adj. R-squared: -0.001
No. Observations: 253 RMSE: 45.25
Df Residuals: 251 MAE: 8.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.2747 9.0269 0.001 11.1681 37.5352
opcount 0.0000 0.0000 0.257 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_1024 · ethrex
nobs 1606
R² 0.7553
coef (ms) 3.911e-06
p-value 1.00e-03
95% CI [3.806e-06, 4.02e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.755
Model: NNLS Adj. R-squared: 0.755
No. Observations: 1606 RMSE: 1.30
Df Residuals: 1604 MAE: 0.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.0947 0.0946 0.001 3.9065 4.2863
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_1024 · geth
nobs 4224
R² 0.6308
coef (ms) 1.144e-05
p-value 1.00e-03
95% CI [1.116e-05, 1.173e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.631
Model: NNLS Adj. R-squared: 0.631
No. Observations: 4224 RMSE: 5.12
Df Residuals: 4222 MAE: 3.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2427 0.2805 0.001 8.7116 9.7962
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_1024 · nethermind
nobs 1177
R² 0.5408
coef (ms) 1.624e-05
p-value 1.00e-03
95% CI [1.559e-05, 1.668e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.541
Model: NNLS Adj. R-squared: 0.540
No. Observations: 1177 RMSE: 8.75
Df Residuals: 1175 MAE: 1.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.3568 0.7683 0.001 3.3411 6.1402
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_1024 · reth
nobs 99
R² 0.6628
coef (ms) 3.113e-06
p-value 1.00e-03
95% CI [2.722e-06, 3.524e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.663
Model: NNLS Adj. R-squared: 0.659
No. Observations: 99 RMSE: 1.30
Df Residuals: 97 MAE: 0.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.4200 0.3300 0.001 1.7876 3.0389
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_10240 · besu
nobs 3773
R² 0.9641
coef (ms) 5.055e-05
p-value 1.00e-03
95% CI [5.023e-05, 5.085e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.964
No. Observations: 3773 RMSE: 5.70
Df Residuals: 3771 MAE: 4.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.2812 0.2964 0.001 9.7153 10.8673
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_10240 · erigon
nobs 253
R² 0.8847
coef (ms) 8.233e-06
p-value 1.00e-03
95% CI [7.826e-06, 8.617e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.885
Model: NNLS Adj. R-squared: 0.884
No. Observations: 253 RMSE: 1.74
Df Residuals: 251 MAE: 1.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.2903 0.4252 0.001 11.5267 13.1853
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_10240 · ethrex
nobs 1606
R² 0.7489
coef (ms) 4.025e-06
p-value 1.00e-03
95% CI [3.908e-06, 4.145e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.749
Model: NNLS Adj. R-squared: 0.749
No. Observations: 1606 RMSE: 1.36
Df Residuals: 1604 MAE: 1.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.9471 0.1024 0.001 3.7437 4.1511
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_10240 · geth
nobs 4224
R² 0.6248
coef (ms) 1.184e-05
p-value 1.00e-03
95% CI [1.154e-05, 1.214e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.625
Model: NNLS Adj. R-squared: 0.625
No. Observations: 4224 RMSE: 5.36
Df Residuals: 4222 MAE: 3.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.6827 0.2818 0.001 8.1250 9.2617
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_10240 · nethermind
nobs 1177
R² 0.6656
coef (ms) 1.632e-05
p-value 1.00e-03
95% CI [1.58e-05, 1.667e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.666
Model: NNLS Adj. R-squared: 0.665
No. Observations: 1177 RMSE: 6.76
Df Residuals: 1175 MAE: 1.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.1288 0.5957 0.001 3.3152 5.4600
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_10240 · reth
nobs 99
R² 0.4023
coef (ms) 3.017e-06
p-value 1.00e-03
95% CI [2.273e-06, 3.956e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.402
Model: NNLS Adj. R-squared: 0.396
No. Observations: 99 RMSE: 2.15
Df Residuals: 97 MAE: 1.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.9693 0.7312 0.001 1.4533 4.2735
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_1048576 · besu
nobs 3773
R² 0.961
coef (ms) 5.1e-05
p-value 1.00e-03
95% CI [5.069e-05, 5.136e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.961
Model: NNLS Adj. R-squared: 0.961
No. Observations: 3773 RMSE: 5.23
Df Residuals: 3771 MAE: 4.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.5974 0.2775 0.001 9.0172 10.1191
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_1048576 · erigon
nobs 253
R² 0.8537
coef (ms) 8.55e-06
p-value 1.00e-03
95% CI [8.018e-06, 9.025e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.853
No. Observations: 253 RMSE: 1.80
Df Residuals: 251 MAE: 1.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.6286 0.4669 0.001 10.8198 12.5543
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_1048576 · ethrex
nobs 1606
R² 0.7476
coef (ms) 4.188e-06
p-value 1.00e-03
95% CI [4.054e-06, 4.317e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.748
Model: NNLS Adj. R-squared: 0.747
No. Observations: 1606 RMSE: 1.24
Df Residuals: 1604 MAE: 0.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.7628 0.0977 0.001 3.5697 3.9594
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_1048576 · geth
nobs 4224
R² 0.4547
coef (ms) 1.362e-05
p-value 1.00e-03
95% CI [1.313e-05, 1.407e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.455
Model: NNLS Adj. R-squared: 0.455
No. Observations: 4224 RMSE: 7.59
Df Residuals: 4222 MAE: 4.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.5809 0.3502 0.001 6.9249 8.2649
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_1048576 · nethermind
nobs 1177
R² 0.9597
coef (ms) 1.655e-05
p-value 1.00e-03
95% CI [1.636e-05, 1.676e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.960
Model: NNLS Adj. R-squared: 0.960
No. Observations: 1177 RMSE: 1.73
Df Residuals: 1175 MAE: 1.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.5856 0.1421 0.001 3.2854 3.8467
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_1048576 · reth
nobs 99
R² 0.5224
coef (ms) 2.74e-06
p-value 1.00e-03
95% CI [2.366e-06, 3.179e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.522
Model: NNLS Adj. R-squared: 0.517
No. Observations: 99 RMSE: 1.33
Df Residuals: 97 MAE: 0.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.2161 0.3230 0.001 2.5663 3.8146
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_256 · besu
nobs 3773
R² 0.96
coef (ms) 5.002e-05
p-value 1.00e-03
95% CI [4.97e-05, 5.036e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.960
Model: NNLS Adj. R-squared: 0.960
No. Observations: 3773 RMSE: 5.97
Df Residuals: 3771 MAE: 4.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.6811 0.3106 0.001 10.0368 11.2769
opcount 0.0001 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_256 · erigon
nobs 253
R² 0.8633
coef (ms) 7.874e-06
p-value 1.00e-03
95% CI [7.375e-06, 8.281e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.863
No. Observations: 253 RMSE: 1.83
Df Residuals: 251 MAE: 1.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.9429 0.5057 0.001 12.1014 14.0278
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_256 · ethrex
nobs 1606
R² 0.7732
coef (ms) 4.088e-06
p-value 1.00e-03
95% CI [3.967e-06, 4.211e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.773
Model: NNLS Adj. R-squared: 0.773
No. Observations: 1606 RMSE: 1.30
Df Residuals: 1604 MAE: 0.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.7907 0.1036 0.001 3.5848 3.9977
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_256 · geth
nobs 4224
R² 0.6435
coef (ms) 1.215e-05
p-value 1.00e-03
95% CI [1.185e-05, 1.245e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.644
Model: NNLS Adj. R-squared: 0.643
No. Observations: 4224 RMSE: 5.29
Df Residuals: 4222 MAE: 3.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.2417 0.2910 0.001 7.6617 8.7858
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_256 · nethermind
nobs 1177
R² 0.9593
coef (ms) 1.655e-05
p-value 1.00e-03
95% CI [1.633e-05, 1.674e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.959
Model: NNLS Adj. R-squared: 0.959
No. Observations: 1177 RMSE: 1.99
Df Residuals: 1175 MAE: 1.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.5539 0.1711 0.001 3.2407 3.8981
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_256 · reth
nobs 99
R² 0.6596
coef (ms) 2.818e-06
p-value 1.00e-03
95% CI [2.447e-06, 3.177e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.660
Model: NNLS Adj. R-squared: 0.656
No. Observations: 99 RMSE: 1.18
Df Residuals: 97 MAE: 0.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.9147 0.3450 0.001 2.2465 3.6211
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_32 · besu
nobs 3773
R² 0.9595
coef (ms) 4.991e-05
p-value 1.00e-03
95% CI [4.96e-05, 5.023e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.960
Model: NNLS Adj. R-squared: 0.959
No. Observations: 3773 RMSE: 6.00
Df Residuals: 3771 MAE: 4.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.7215 0.3065 0.001 10.1343 11.2886
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_32 · erigon
nobs 253
R² 0.8757
coef (ms) 8.395e-06
p-value 1.00e-03
95% CI [7.976e-06, 8.84e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.876
Model: NNLS Adj. R-squared: 0.875
No. Observations: 253 RMSE: 1.85
Df Residuals: 251 MAE: 1.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.7460 0.4050 0.001 10.9511 12.5451
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_32 · ethrex
nobs 1606
R² 0.7494
coef (ms) 4.019e-06
p-value 1.00e-03
95% CI [3.897e-06, 4.134e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.749
Model: NNLS Adj. R-squared: 0.749
No. Observations: 1606 RMSE: 1.36
Df Residuals: 1604 MAE: 1.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.9594 0.1028 0.001 3.7639 4.1661
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_32 · geth
nobs 4224
R² 0.6033
coef (ms) 1.168e-05
p-value 1.00e-03
95% CI [1.138e-05, 1.2e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.603
Model: NNLS Adj. R-squared: 0.603
No. Observations: 4224 RMSE: 5.54
Df Residuals: 4222 MAE: 3.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.1794 0.2910 0.001 8.6037 9.7454
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_32 · nethermind
nobs 1177
R² 0.9621
coef (ms) 1.656e-05
p-value 1.00e-03
95% CI [1.636e-05, 1.675e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 1177 RMSE: 1.92
Df Residuals: 1175 MAE: 1.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.4777 0.1581 0.001 3.1712 3.8007
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 1024_32 · reth
nobs 99
R² 0.5018
coef (ms) 2.537e-06
p-value 1.00e-03
95% CI [2.121e-06, 3.034e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.502
Model: NNLS Adj. R-squared: 0.497
No. Observations: 99 RMSE: 1.48
Df Residuals: 97 MAE: 1.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.7269 0.4260 0.001 2.8864 4.5652
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_0 · besu
nobs 3773
R² 0.7244
coef (ms) 2.069e-05
p-value 1.00e-03
95% CI [2.028e-05, 2.108e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.724
Model: NNLS Adj. R-squared: 0.724
No. Observations: 3773 RMSE: 22.39
Df Residuals: 3771 MAE: 19.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.8564 1.1400 0.001 29.7185 34.1823
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_0 · erigon
nobs 253
R² 0.8497
coef (ms) 7.52e-06
p-value 1.00e-03
95% CI [7.056e-06, 7.983e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.850
Model: NNLS Adj. R-squared: 0.849
No. Observations: 253 RMSE: 5.55
Df Residuals: 251 MAE: 4.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.5247 1.3729 0.001 17.9003 23.2245
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_0 · ethrex
nobs 1606
R² 0.7956
coef (ms) 3.925e-06
p-value 1.00e-03
95% CI [3.819e-06, 4.029e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.796
Model: NNLS Adj. R-squared: 0.796
No. Observations: 1606 RMSE: 3.49
Df Residuals: 1604 MAE: 2.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.2155 0.2925 0.001 7.6530 8.7862
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_0 · geth
nobs 4224
R² 0.7457
coef (ms) 1.116e-05
p-value 1.00e-03
95% CI [1.094e-05, 1.139e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.746
Model: NNLS Adj. R-squared: 0.746
No. Observations: 4224 RMSE: 11.44
Df Residuals: 4222 MAE: 8.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.3548 0.6238 0.001 19.1030 21.6365
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_0 · nethermind
nobs 1177
R² 0.9196
coef (ms) 1.646e-05
p-value 1.00e-03
95% CI [1.617e-05, 1.673e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.920
Model: NNLS Adj. R-squared: 0.920
No. Observations: 1177 RMSE: 8.54
Df Residuals: 1175 MAE: 4.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.0894 0.8868 0.001 3.5159 6.9273
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_0 · reth
nobs 99
R² 0.7708
coef (ms) 3.112e-06
p-value 1.00e-03
95% CI [2.798e-06, 3.47e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.771
Model: NNLS Adj. R-squared: 0.768
No. Observations: 99 RMSE: 2.98
Df Residuals: 97 MAE: 2.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2541 0.8645 0.001 4.4158 7.8534
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_1024 · besu
nobs 3773
R² 0.7386
coef (ms) 2.433e-05
p-value 1.00e-03
95% CI [2.387e-05, 2.482e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.739
Model: NNLS Adj. R-squared: 0.738
No. Observations: 3773 RMSE: 25.40
Df Residuals: 3771 MAE: 20.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.0566 1.2941 0.001 15.3734 20.4972
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_1024 · erigon
nobs 253
R² 0.2036
coef (ms) 6.663e-06
p-value 1.00e-03
95% CI [4.68e-06, 7.655e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.204
Model: NNLS Adj. R-squared: 0.200
No. Observations: 253 RMSE: 23.12
Df Residuals: 251 MAE: 5.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.3007 5.9308 0.001 19.2144 40.6551
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_1024 · ethrex
nobs 1606
R² 0.783
coef (ms) 3.931e-06
p-value 1.00e-03
95% CI [3.822e-06, 4.036e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.783
Model: NNLS Adj. R-squared: 0.783
No. Observations: 1606 RMSE: 3.63
Df Residuals: 1604 MAE: 2.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.0286 0.2849 0.001 7.5082 8.6191
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_1024 · geth
nobs 4224
R² 0.7413
coef (ms) 1.104e-05
p-value 1.00e-03
95% CI [1.083e-05, 1.125e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.741
Model: NNLS Adj. R-squared: 0.741
No. Observations: 4224 RMSE: 11.44
Df Residuals: 4222 MAE: 8.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.8001 0.5991 0.001 19.6234 22.0342
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_1024 · nethermind
nobs 1177
R² 0.9628
coef (ms) 1.656e-05
p-value 1.00e-03
95% CI [1.637e-05, 1.675e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.963
Model: NNLS Adj. R-squared: 0.963
No. Observations: 1177 RMSE: 5.71
Df Residuals: 1175 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.2805 0.4701 0.001 3.3462 5.2235
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_1024 · reth
nobs 99
R² 0.8259
coef (ms) 3.596e-06
p-value 1.00e-03
95% CI [3.239e-06, 3.915e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.824
No. Observations: 99 RMSE: 2.90
Df Residuals: 97 MAE: 2.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.2076 0.8857 0.001 2.6251 6.0627
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_10240 · besu
nobs 3773
R² 0.7133
coef (ms) 2.116e-05
p-value 1.00e-03
95% CI [2.076e-05, 2.157e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.713
Model: NNLS Adj. R-squared: 0.713
No. Observations: 3773 RMSE: 23.53
Df Residuals: 3771 MAE: 19.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.3887 1.1535 0.001 29.1198 33.6108
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_10240 · erigon
nobs 253
R² 0.3064
coef (ms) 7.789e-06
p-value 1.00e-03
95% CI [7.332e-06, 8.44e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.306
Model: NNLS Adj. R-squared: 0.304
No. Observations: 253 RMSE: 20.56
Df Residuals: 251 MAE: 5.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.0193 1.0628 0.001 17.8558 22.0691
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_10240 · ethrex
nobs 1606
R² 0.8091
coef (ms) 4.021e-06
p-value 1.00e-03
95% CI [3.919e-06, 4.124e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.809
No. Observations: 1606 RMSE: 3.43
Df Residuals: 1604 MAE: 2.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.3938 0.2796 0.001 6.8618 7.9344
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_10240 · geth
nobs 4224
R² 0.7491
coef (ms) 1.106e-05
p-value 1.00e-03
95% CI [1.087e-05, 1.127e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.749
Model: NNLS Adj. R-squared: 0.749
No. Observations: 4224 RMSE: 11.23
Df Residuals: 4222 MAE: 8.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.3806 0.5780 0.001 19.2617 21.4663
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_10240 · nethermind
nobs 1177
R² 0.9391
coef (ms) 1.665e-05
p-value 1.00e-03
95% CI [1.637e-05, 1.698e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.939
Model: NNLS Adj. R-squared: 0.939
No. Observations: 1177 RMSE: 7.44
Df Residuals: 1175 MAE: 4.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.0431 0.7360 0.001 2.5437 5.3790
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_10240 · reth
nobs 99
R² 0.6504
coef (ms) 2.988e-06
p-value 1.00e-03
95% CI [2.575e-06, 3.436e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.650
Model: NNLS Adj. R-squared: 0.647
No. Observations: 99 RMSE: 3.84
Df Residuals: 97 MAE: 2.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.4112 1.0561 0.001 5.3133 9.4427
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_1048576 · besu
nobs 3773
R² 0.703
coef (ms) 2.026e-05
p-value 1.00e-03
95% CI [1.986e-05, 2.069e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.703
Model: NNLS Adj. R-squared: 0.703
No. Observations: 3773 RMSE: 20.11
Df Residuals: 3771 MAE: 17.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.5255 1.0447 0.001 29.4105 33.4096
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_1048576 · erigon
nobs 253
R² 0.2465
coef (ms) 8.065e-06
p-value 1.00e-03
95% CI [7.26e-06, 9.419e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.247
Model: NNLS Adj. R-squared: 0.244
No. Observations: 253 RMSE: 21.53
Df Residuals: 251 MAE: 4.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.2728 1.6121 0.001 14.6201 20.9806
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_1048576 · ethrex
nobs 1606
R² 0.8083
coef (ms) 4.065e-06
p-value 1.00e-03
95% CI [3.957e-06, 4.18e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.808
No. Observations: 1606 RMSE: 3.02
Df Residuals: 1604 MAE: 2.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.2010 0.2610 0.001 6.6670 7.6912
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_1048576 · geth
nobs 4224
R² 0.6795
coef (ms) 1.193e-05
p-value 1.00e-03
95% CI [1.166e-05, 1.22e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.680
Model: NNLS Adj. R-squared: 0.679
No. Observations: 4224 RMSE: 12.51
Df Residuals: 4222 MAE: 9.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.6489 0.6343 0.001 16.4334 18.9039
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_1048576 · nethermind
nobs 1177
R² 0.9638
coef (ms) 1.657e-05
p-value 1.00e-03
95% CI [1.638e-05, 1.676e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.964
No. Observations: 1177 RMSE: 4.90
Df Residuals: 1175 MAE: 3.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.3409 0.4152 0.001 3.5179 5.1613
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_1048576 · reth
nobs 99
R² 0.5624
coef (ms) 2.985e-06
p-value 1.00e-03
95% CI [2.372e-06, 3.514e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.562
Model: NNLS Adj. R-squared: 0.558
No. Observations: 99 RMSE: 4.02
Df Residuals: 97 MAE: 2.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.1733 1.4235 0.001 4.5677 10.2510
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_256 · besu
nobs 3773
R² 0.7228
coef (ms) 2.057e-05
p-value 1.00e-03
95% CI [2.02e-05, 2.098e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.723
Model: NNLS Adj. R-squared: 0.723
No. Observations: 3773 RMSE: 22.35
Df Residuals: 3771 MAE: 19.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.4425 1.1089 0.001 30.2962 34.5702
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_256 · erigon
nobs 253
R² 0.3037
coef (ms) 8.143e-06
p-value 1.00e-03
95% CI [7.155e-06, 9.921e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.304
Model: NNLS Adj. R-squared: 0.301
No. Observations: 253 RMSE: 21.63
Df Residuals: 251 MAE: 5.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.1980 2.8917 0.001 11.6181 22.4443
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_256 · ethrex
nobs 1606
R² 0.8069
coef (ms) 4.041e-06
p-value 1.00e-03
95% CI [3.943e-06, 4.147e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.807
Model: NNLS Adj. R-squared: 0.807
No. Observations: 1606 RMSE: 3.47
Df Residuals: 1604 MAE: 2.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.5593 0.2743 0.001 6.9966 8.0835
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_256 · geth
nobs 4224
R² 0.7551
coef (ms) 1.136e-05
p-value 1.00e-03
95% CI [1.115e-05, 1.158e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.755
Model: NNLS Adj. R-squared: 0.755
No. Observations: 4224 RMSE: 11.35
Df Residuals: 4222 MAE: 8.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.2133 0.6172 0.001 17.9660 20.4185
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_256 · nethermind
nobs 1177
R² 0.9618
coef (ms) 1.655e-05
p-value 1.00e-03
95% CI [1.635e-05, 1.674e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 1177 RMSE: 5.79
Df Residuals: 1175 MAE: 4.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.4596 0.4830 0.001 3.5138 5.4226
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_256 · reth
nobs 99
R² 0.6613
coef (ms) 2.769e-06
p-value 1.00e-03
95% CI [2.411e-06, 3.15e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.661
Model: NNLS Adj. R-squared: 0.658
No. Observations: 99 RMSE: 3.48
Df Residuals: 97 MAE: 2.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.4442 1.0320 0.001 6.3701 10.4380
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_32 · besu
nobs 3773
R² 0.7213
coef (ms) 2.077e-05
p-value 1.00e-03
95% CI [2.033e-05, 2.124e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.721
Model: NNLS Adj. R-squared: 0.721
No. Observations: 3773 RMSE: 22.65
Df Residuals: 3771 MAE: 19.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.5752 1.2103 0.001 29.0200 33.9384
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_32 · erigon
nobs 253
R² 0.1794
coef (ms) 7.283e-06
p-value 1.00e-03
95% CI [6.505e-06, 7.872e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.179
Model: NNLS Adj. R-squared: 0.176
No. Observations: 253 RMSE: 27.32
Df Residuals: 251 MAE: 5.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.1951 3.6530 0.001 17.9627 31.3453
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_32 · ethrex
nobs 1606
R² 0.7975
coef (ms) 3.977e-06
p-value 1.00e-03
95% CI [3.868e-06, 4.079e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.797
No. Observations: 1606 RMSE: 3.52
Df Residuals: 1604 MAE: 2.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.0146 0.2884 0.001 7.4861 8.5739
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_32 · geth
nobs 4224
R² 0.7543
coef (ms) 1.122e-05
p-value 1.00e-03
95% CI [1.103e-05, 1.145e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.754
Model: NNLS Adj. R-squared: 0.754
No. Observations: 4224 RMSE: 11.24
Df Residuals: 4222 MAE: 8.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.6375 0.5802 0.001 18.3521 20.7141
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_32 · nethermind
nobs 1177
R² 0.9632
coef (ms) 1.656e-05
p-value 1.00e-03
95% CI [1.638e-05, 1.675e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.963
Model: NNLS Adj. R-squared: 0.963
No. Observations: 1177 RMSE: 5.68
Df Residuals: 1175 MAE: 4.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.3686 0.4590 0.001 3.4168 5.2699
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 256_32 · reth
nobs 99
R² 0.6968
coef (ms) 3.158e-06
p-value 1.00e-03
95% CI [2.726e-06, 3.622e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.697
Model: NNLS Adj. R-squared: 0.694
No. Observations: 99 RMSE: 3.65
Df Residuals: 97 MAE: 2.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.4214 1.1110 0.001 4.2516 8.5919
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_0 · besu
nobs 3773
R² 0.656
coef (ms) 1.873e-05
p-value 1.00e-03
95% CI [1.831e-05, 1.917e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.656
Model: NNLS Adj. R-squared: 0.656
No. Observations: 3773 RMSE: 57.12
Df Residuals: 3771 MAE: 49.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 68.5098 2.8948 0.001 63.0932 74.0286
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_0 · erigon
nobs 253
R² 0.7177
coef (ms) 7.628e-06
p-value 1.00e-03
95% CI [7.337e-06, 7.927e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.718
Model: NNLS Adj. R-squared: 0.717
No. Observations: 253 RMSE: 20.14
Df Residuals: 251 MAE: 7.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.9890 2.1764 0.001 17.8533 26.3970
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_0 · ethrex
nobs 1606
R² 0.8046
coef (ms) 3.383e-06
p-value 1.00e-03
95% CI [3.296e-06, 3.467e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.805
No. Observations: 1606 RMSE: 7.02
Df Residuals: 1604 MAE: 5.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.3955 0.5863 0.001 13.2825 15.5178
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_0 · geth
nobs 4224
R² 0.7912
coef (ms) 1.052e-05
p-value 1.00e-03
95% CI [1.033e-05, 1.072e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.791
Model: NNLS Adj. R-squared: 0.791
No. Observations: 4224 RMSE: 22.76
Df Residuals: 4222 MAE: 17.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.6820 1.3992 0.001 41.8270 47.4624
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_0 · nethermind
nobs 1177
R² 0.9577
coef (ms) 1.601e-05
p-value 1.00e-03
95% CI [1.581e-05, 1.62e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 1177 RMSE: 14.16
Df Residuals: 1175 MAE: 10.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.6664 1.1733 0.001 3.3899 8.0608
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_0 · reth
nobs 99
R² 0.6882
coef (ms) 2.413e-06
p-value 1.00e-03
95% CI [2.135e-06, 2.679e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.688
Model: NNLS Adj. R-squared: 0.685
No. Observations: 99 RMSE: 6.84
Df Residuals: 97 MAE: 5.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.2401 1.8189 0.001 7.7035 14.6664
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_1024 · besu
nobs 3773
R² 0.6518
coef (ms) 1.854e-05
p-value 1.00e-03
95% CI [1.812e-05, 1.898e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.652
Model: NNLS Adj. R-squared: 0.652
No. Observations: 3773 RMSE: 57.04
Df Residuals: 3771 MAE: 49.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.3429 2.8762 0.001 64.5382 75.7174
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_1024 · erigon
nobs 253
R² 0.6987
coef (ms) 7.764e-06
p-value 1.00e-03
95% CI [7.384e-06, 8.302e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.699
Model: NNLS Adj. R-squared: 0.698
No. Observations: 253 RMSE: 21.46
Df Residuals: 251 MAE: 8.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.6496 2.1344 0.001 16.3962 24.6420
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_1024 · ethrex
nobs 1606
R² 0.7923
coef (ms) 3.43e-06
p-value 1.00e-03
95% CI [3.335e-06, 3.517e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 1606 RMSE: 7.39
Df Residuals: 1604 MAE: 5.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.3502 0.6055 0.001 13.1951 15.5868
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_1024 · geth
nobs 4224
R² 0.7943
coef (ms) 1.069e-05
p-value 1.00e-03
95% CI [1.051e-05, 1.087e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.794
Model: NNLS Adj. R-squared: 0.794
No. Observations: 4224 RMSE: 22.90
Df Residuals: 4222 MAE: 17.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.6609 1.2818 0.001 40.2206 45.3717
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_1024 · nethermind
nobs 1177
R² 0.9525
coef (ms) 1.599e-05
p-value 1.00e-03
95% CI [1.575e-05, 1.622e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.952
No. Observations: 1177 RMSE: 15.03
Df Residuals: 1175 MAE: 11.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.0265 1.3387 0.001 3.2677 8.8834
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_1024 · reth
nobs 99
R² 0.7739
coef (ms) 2.488e-06
p-value 1.00e-03
95% CI [2.213e-06, 2.754e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.774
Model: NNLS Adj. R-squared: 0.772
No. Observations: 99 RMSE: 5.66
Df Residuals: 97 MAE: 4.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.6822 1.7561 0.001 7.3791 14.2930
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_10240 · besu
nobs 3773
R² 0.6501
coef (ms) 1.857e-05
p-value 1.00e-03
95% CI [1.813e-05, 1.9e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.650
Model: NNLS Adj. R-squared: 0.650
No. Observations: 3773 RMSE: 57.34
Df Residuals: 3771 MAE: 49.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.1318 2.9123 0.001 64.7485 76.0008
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_10240 · erigon
nobs 253
R² 0.5099
coef (ms) 7.719e-06
p-value 1.00e-03
95% CI [7.388e-06, 8.069e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.510
Model: NNLS Adj. R-squared: 0.508
No. Observations: 253 RMSE: 31.85
Df Residuals: 251 MAE: 9.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.9300 2.5280 0.001 18.6140 28.2709
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_10240 · ethrex
nobs 1606
R² 0.7978
coef (ms) 3.381e-06
p-value 1.00e-03
95% CI [3.294e-06, 3.472e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.798
No. Observations: 1606 RMSE: 7.16
Df Residuals: 1604 MAE: 5.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.1627 0.6039 0.001 14.0139 16.3399
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_10240 · geth
nobs 4224
R² 0.7966
coef (ms) 1.063e-05
p-value 1.00e-03
95% CI [1.046e-05, 1.08e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.797
No. Observations: 4224 RMSE: 22.61
Df Residuals: 4222 MAE: 17.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.8755 1.2918 0.001 40.5411 45.4011
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_10240 · nethermind
nobs 1177
R² 0.9514
coef (ms) 1.601e-05
p-value 1.00e-03
95% CI [1.579e-05, 1.624e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.951
Model: NNLS Adj. R-squared: 0.951
No. Observations: 1177 RMSE: 15.23
Df Residuals: 1175 MAE: 11.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.9667 1.3209 0.001 3.4289 8.5704
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_10240 · reth
nobs 99
R² 0.759
coef (ms) 2.467e-06
p-value 1.00e-03
95% CI [2.183e-06, 2.788e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.759
Model: NNLS Adj. R-squared: 0.757
No. Observations: 99 RMSE: 5.85
Df Residuals: 97 MAE: 4.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.4865 1.9235 0.001 6.6152 14.0990
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_1048576 · besu
nobs 3773
R² 0.6499
coef (ms) 1.837e-05
p-value 1.00e-03
95% CI [1.792e-05, 1.88e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.650
Model: NNLS Adj. R-squared: 0.650
No. Observations: 3773 RMSE: 49.39
Df Residuals: 3771 MAE: 43.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 64.7255 2.4806 0.001 59.6903 69.7598
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_1048576 · erigon
nobs 253
R² 0.6051
coef (ms) 6.975e-06
p-value 1.00e-03
95% CI [5.93e-06, 7.572e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.605
Model: NNLS Adj. R-squared: 0.604
No. Observations: 253 RMSE: 20.64
Df Residuals: 251 MAE: 6.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.8524 6.3948 0.001 20.5992 43.9107
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_1048576 · ethrex
nobs 1606
R² 0.787
coef (ms) 3.34e-06
p-value 1.00e-03
95% CI [3.245e-06, 3.428e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.787
Model: NNLS Adj. R-squared: 0.787
No. Observations: 1606 RMSE: 6.37
Df Residuals: 1604 MAE: 5.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.3271 0.5407 0.001 13.3469 15.4042
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_1048576 · geth
nobs 4224
R² 0.7689
coef (ms) 1.107e-05
p-value 1.00e-03
95% CI [1.085e-05, 1.128e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.769
Model: NNLS Adj. R-squared: 0.769
No. Observations: 4224 RMSE: 22.23
Df Residuals: 4222 MAE: 17.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.0723 1.3131 0.001 35.5677 40.7254
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_1048576 · nethermind
nobs 1177
R² 0.9581
coef (ms) 1.595e-05
p-value 1.00e-03
95% CI [1.574e-05, 1.616e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 1177 RMSE: 12.21
Df Residuals: 1175 MAE: 9.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.0838 1.0577 0.001 3.9989 8.1699
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_1048576 · reth
nobs 99
R² 0.7194
coef (ms) 2.457e-06
p-value 1.00e-03
95% CI [2.149e-06, 2.793e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.719
Model: NNLS Adj. R-squared: 0.716
No. Observations: 99 RMSE: 5.62
Df Residuals: 97 MAE: 4.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.1015 1.7969 0.001 6.4995 13.5463
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_256 · besu
nobs 3773
R² 0.6511
coef (ms) 1.858e-05
p-value 1.00e-03
95% CI [1.812e-05, 1.9e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.651
Model: NNLS Adj. R-squared: 0.651
No. Observations: 3773 RMSE: 57.23
Df Residuals: 3771 MAE: 49.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 69.3414 2.8723 0.001 63.9032 75.2232
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_256 · erigon
nobs 253
R² 0.9532
coef (ms) 7.614e-06
p-value 1.00e-03
95% CI [7.409e-06, 7.803e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.953
No. Observations: 253 RMSE: 7.10
Df Residuals: 251 MAE: 5.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.7432 1.5038 0.001 17.9910 23.7521
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_256 · ethrex
nobs 1606
R² 0.808
coef (ms) 3.389e-06
p-value 1.00e-03
95% CI [3.304e-06, 3.476e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.808
No. Observations: 1606 RMSE: 6.95
Df Residuals: 1604 MAE: 5.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.3233 0.6050 0.001 13.0997 15.4256
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_256 · geth
nobs 4224
R² 0.782
coef (ms) 1.045e-05
p-value 1.00e-03
95% CI [1.026e-05, 1.062e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.782
Model: NNLS Adj. R-squared: 0.782
No. Observations: 4224 RMSE: 23.21
Df Residuals: 4222 MAE: 17.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.8707 1.3163 0.001 43.3387 48.5753
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_256 · nethermind
nobs 1177
R² 0.9588
coef (ms) 1.597e-05
p-value 1.00e-03
95% CI [1.578e-05, 1.617e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.959
Model: NNLS Adj. R-squared: 0.959
No. Observations: 1177 RMSE: 13.94
Df Residuals: 1175 MAE: 10.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.9389 1.1591 0.001 3.6212 8.1166
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_256 · reth
nobs 99
R² 0.7712
coef (ms) 2.362e-06
p-value 1.00e-03
95% CI [2.103e-06, 2.619e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.771
Model: NNLS Adj. R-squared: 0.769
No. Observations: 99 RMSE: 5.41
Df Residuals: 97 MAE: 4.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6128 1.6210 0.001 9.4158 15.8455
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_32 · besu
nobs 3773
R² 0.6561
coef (ms) 1.87e-05
p-value 1.00e-03
95% CI [1.824e-05, 1.91e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.656
Model: NNLS Adj. R-squared: 0.656
No. Observations: 3773 RMSE: 56.98
Df Residuals: 3771 MAE: 49.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 68.8986 2.8176 0.001 63.7469 74.6541
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_32 · erigon
nobs 253
R² 0.6457
coef (ms) 7.153e-06
p-value 1.00e-03
95% CI [6.403e-06, 7.635e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.646
Model: NNLS Adj. R-squared: 0.644
No. Observations: 253 RMSE: 22.30
Df Residuals: 251 MAE: 7.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.4207 5.4081 0.001 20.6366 41.0767
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_32 · ethrex
nobs 1606
R² 0.8029
coef (ms) 3.364e-06
p-value 1.00e-03
95% CI [3.284e-06, 3.451e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 1606 RMSE: 7.02
Df Residuals: 1604 MAE: 5.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.6273 0.5657 0.001 13.4595 15.6833
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_32 · geth
nobs 4224
R² 0.7878
coef (ms) 1.066e-05
p-value 1.00e-03
95% CI [1.049e-05, 1.083e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.788
Model: NNLS Adj. R-squared: 0.788
No. Observations: 4224 RMSE: 23.29
Df Residuals: 4222 MAE: 17.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.2309 1.2917 0.001 40.7719 45.7189
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_32 · nethermind
nobs 1177
R² 0.9604
coef (ms) 1.598e-05
p-value 1.00e-03
95% CI [1.58e-05, 1.618e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.960
Model: NNLS Adj. R-squared: 0.960
No. Observations: 1177 RMSE: 13.66
Df Residuals: 1175 MAE: 10.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.8928 1.1541 0.001 3.5500 8.0302
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
MCOPY · test_mcopy · combo 32_32 · reth
nobs 99
R² 0.6331
coef (ms) 2.204e-06
p-value 1.00e-03
95% CI [1.885e-06, 2.538e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.633
Model: NNLS Adj. R-squared: 0.629
No. Observations: 99 RMSE: 7.06
Df Residuals: 97 MAE: 5.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.2199 2.3218 0.001 9.7079 18.8235
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 0 · besu
nobs 15092
R² 0.7663
coef (ms) 9.818e-05
p-value 1.00e-03
95% CI [9.729e-05, 9.905e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.766
Model: NNLS Adj. R-squared: 0.766
No. Observations: 15092 RMSE: 85.31
Df Residuals: 15089 MAE: 71.11
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 140.5291 2.3115 0.001 135.9958 145.1280
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 0 · erigon
nobs 1012
R² 0.8107
coef (ms) 7.648e-05
p-value 1.00e-03
95% CI [7.401e-05, 7.893e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.810
No. Observations: 1012 RMSE: 63.57
Df Residuals: 1009 MAE: 49.71
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.0402 6.0487 0.001 26.1709 49.9284
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 0 · ethrex
nobs 6424
R² 0.6559
coef (ms) 1.304e-05
p-value 1.00e-03
95% CI [1.149e-05, 1.484e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.656
Model: NNLS Adj. R-squared: 0.656
No. Observations: 6424 RMSE: 91.84
Df Residuals: 6421 MAE: 75.90
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.7343 3.3545 0.001 57.3279 70.2403
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 0 · geth
nobs 16896
R² 0.789
coef (ms) 8.136e-05
p-value 1.00e-03
95% CI [8.078e-05, 8.195e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.789
Model: NNLS Adj. R-squared: 0.789
No. Observations: 16896 RMSE: 63.59
Df Residuals: 16893 MAE: 51.69
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 101.6325 1.5310 0.001 98.6746 104.5486
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 0 · nethermind
nobs 4708
R² 0.6987
coef (ms) 2.4e-05
p-value 1.00e-03
95% CI [2.069e-05, 2.745e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.699
Model: NNLS Adj. R-squared: 0.699
No. Observations: 4708 RMSE: 158.79
Df Residuals: 4705 MAE: 130.13
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.9093 6.7780 0.001 76.2173 102.7237
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 0 · reth
nobs 396
R² 0.5592
coef (ms) 1.586e-05
p-value 1.00e-03
95% CI [7.961e-06, 2.429e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.559
Model: NNLS Adj. R-squared: 0.557
No. Observations: 396 RMSE: 106.66
Df Residuals: 393 MAE: 85.96
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 61.0340 15.9476 0.001 28.4883 92.7944
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 1024 · besu
nobs 15092
R² 0.7844
coef (ms) 0.0001078
p-value 1.00e-03
95% CI [0.0001069, 0.0001087]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.784
Model: NNLS Adj. R-squared: 0.784
No. Observations: 15092 RMSE: 86.46
Df Residuals: 15089 MAE: 71.30
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 132.6075 2.3217 0.001 128.0200 137.1152
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 1024 · erigon
nobs 1012
R² 0.8257
coef (ms) 7.607e-05
p-value 1.00e-03
95% CI [7.379e-05, 7.837e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.825
No. Observations: 1012 RMSE: 60.12
Df Residuals: 1009 MAE: 48.56
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.2313 5.7757 0.001 28.0573 50.3689
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 1024 · ethrex
nobs 6424
R² 0.6562
coef (ms) 1.314e-05
p-value 1.00e-03
95% CI [1.137e-05, 1.482e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.656
Model: NNLS Adj. R-squared: 0.656
No. Observations: 6424 RMSE: 91.98
Df Residuals: 6421 MAE: 76.07
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.0222 3.4795 0.001 56.3100 69.6678
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 1024 · geth
nobs 16896
R² 0.794
coef (ms) 8.139e-05
p-value 1.00e-03
95% CI [8.079e-05, 8.201e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.794
Model: NNLS Adj. R-squared: 0.794
No. Observations: 16896 RMSE: 62.77
Df Residuals: 16893 MAE: 51.23
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 98.4110 1.6555 0.001 95.0439 101.4888
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 1024 · nethermind
nobs 4708
R² 0.7011
coef (ms) 2.445e-05
p-value 1.00e-03
95% CI [2.12e-05, 2.791e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.701
Model: NNLS Adj. R-squared: 0.701
No. Observations: 4708 RMSE: 158.29
Df Residuals: 4705 MAE: 129.40
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 86.7301 6.8340 0.001 73.4571 99.2791
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 1024 · reth
nobs 396
R² 0.5698
coef (ms) 1.625e-05
p-value 1.00e-03
95% CI [7.498e-06, 2.462e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.570
Model: NNLS Adj. R-squared: 0.568
No. Observations: 396 RMSE: 106.37
Df Residuals: 393 MAE: 85.33
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 58.1366 16.2160 0.001 25.6331 88.6644
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 256 · besu
nobs 15092
R² 0.7804
coef (ms) 0.0001102
p-value 1.00e-03
95% CI [0.0001093, 0.0001112]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.780
Model: NNLS Adj. R-squared: 0.780
No. Observations: 15092 RMSE: 88.94
Df Residuals: 15089 MAE: 73.32
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 129.1025 2.3081 0.001 124.6437 133.7545
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 256 · erigon
nobs 1012
R² 0.8154
coef (ms) 7.491e-05
p-value 1.00e-03
95% CI [7.244e-05, 7.722e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.815
No. Observations: 1012 RMSE: 61.41
Df Residuals: 1009 MAE: 49.31
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.9415 6.1523 0.001 33.5825 57.5537
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 256 · ethrex
nobs 6424
R² 0.6564
coef (ms) 1.324e-05
p-value 1.00e-03
95% CI [1.156e-05, 1.503e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.656
Model: NNLS Adj. R-squared: 0.656
No. Observations: 6424 RMSE: 91.87
Df Residuals: 6421 MAE: 75.85
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.6063 3.3213 0.001 55.7830 69.1171
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 256 · geth
nobs 16896
R² 0.7923
coef (ms) 8.098e-05
p-value 1.00e-03
95% CI [8.037e-05, 8.16e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 16896 RMSE: 62.79
Df Residuals: 16893 MAE: 50.95
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 99.6320 1.6284 0.001 96.3056 102.8278
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 256 · nethermind
nobs 4708
R² 0.6999
coef (ms) 2.442e-05
p-value 1.00e-03
95% CI [2.114e-05, 2.786e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.700
Model: NNLS Adj. R-squared: 0.700
No. Observations: 4708 RMSE: 158.32
Df Residuals: 4705 MAE: 129.47
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 87.7297 6.7532 0.001 74.4411 101.1702
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 256 · reth
nobs 396
R² 0.5606
coef (ms) 1.602e-05
p-value 1.00e-03
95% CI [7.885e-06, 2.455e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.561
Model: NNLS Adj. R-squared: 0.558
No. Observations: 396 RMSE: 106.64
Df Residuals: 393 MAE: 85.88
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.8467 15.4798 0.001 27.8576 88.8289
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 32 · besu
nobs 15092
R² 0.7613
coef (ms) 0.0001021
p-value 1.00e-03
95% CI [0.0001012, 0.000103]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.761
Model: NNLS Adj. R-squared: 0.761
No. Observations: 15092 RMSE: 87.90
Df Residuals: 15089 MAE: 73.47
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 152.3264 2.4031 0.001 147.7670 156.8322
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 32 · erigon
nobs 1012
R² 0.8216
coef (ms) 7.492e-05
p-value 1.00e-03
95% CI [7.24e-05, 7.72e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.822
Model: NNLS Adj. R-squared: 0.821
No. Observations: 1012 RMSE: 59.86
Df Residuals: 1009 MAE: 48.92
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.2170 5.8021 0.001 35.4322 57.8560
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 32 · ethrex
nobs 6424
R² 0.655
coef (ms) 1.312e-05
p-value 1.00e-03
95% CI [1.147e-05, 1.49e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.655
Model: NNLS Adj. R-squared: 0.655
No. Observations: 6424 RMSE: 92.04
Df Residuals: 6421 MAE: 76.03
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.4500 3.4305 0.001 56.9023 69.9294
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 32 · geth
nobs 16896
R² 0.792
coef (ms) 8.12e-05
p-value 1.00e-03
95% CI [8.057e-05, 8.179e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 16896 RMSE: 63.04
Df Residuals: 16893 MAE: 51.78
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 98.2020 1.6198 0.001 95.2279 101.4739
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 32 · nethermind
nobs 4708
R² 0.6999
coef (ms) 2.412e-05
p-value 1.00e-03
95% CI [2.081e-05, 2.738e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.700
Model: NNLS Adj. R-squared: 0.700
No. Observations: 4708 RMSE: 158.42
Df Residuals: 4705 MAE: 129.91
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.2504 6.6879 0.001 76.4919 102.4148
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
KECCAK256 · test_keccak_diff_mem_msg_sizes · combo 32 · reth
nobs 396
R² 0.5645
coef (ms) 1.527e-05
p-value 1.00e-03
95% CI [7.06e-06, 2.302e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.565
Model: NNLS Adj. R-squared: 0.562
No. Observations: 396 RMSE: 106.18
Df Residuals: 393 MAE: 85.13
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.0521 15.0854 0.001 33.3584 93.2852
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECRECOVER · test_ecrecover · besu
nobs 3773
R² 0.8847
coef (ms) 0.006698
p-value 1.00e-03
95% CI [0.006623, 0.006772]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.885
Model: NNLS Adj. R-squared: 0.885
No. Observations: 3773 RMSE: 48.79
Df Residuals: 3771 MAE: 41.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 144.2487 2.6980 0.001 138.9382 149.5165
opcount 0.0067 0.0000 0.001 0.0066 0.0068
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECRECOVER · test_ecrecover · erigon
nobs 253
R² 0.8362
coef (ms) 0.008465
p-value 1.00e-03
95% CI [0.007917, 0.008928]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.836
No. Observations: 253 RMSE: 75.57
Df Residuals: 251 MAE: 49.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.6571 20.1971 0.001 49.0580 125.0348
opcount 0.0085 0.0003 0.001 0.0079 0.0089
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECRECOVER · test_ecrecover · ethrex
nobs 1606
R² 0.8201
coef (ms) 0.006228
p-value 1.00e-03
95% CI [0.00609, 0.006383]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.820
Model: NNLS Adj. R-squared: 0.820
No. Observations: 1606 RMSE: 58.85
Df Residuals: 1604 MAE: 50.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 129.7862 5.3657 0.001 119.2700 140.2326
opcount 0.0062 0.0001 0.001 0.0061 0.0064
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECRECOVER · test_ecrecover · geth
nobs 4224
R² 0.8809
coef (ms) 0.007798
p-value 1.00e-03
95% CI [0.007707, 0.007886]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.881
No. Observations: 4224 RMSE: 57.86
Df Residuals: 4222 MAE: 49.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 115.6781 3.1386 0.001 109.7366 121.9221
opcount 0.0078 0.0000 0.001 0.0077 0.0079
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECRECOVER · test_ecrecover · nethermind
nobs 1177
R² 0.8786
coef (ms) 0.006908
p-value 1.00e-03
95% CI [0.006745, 0.00708]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.879
Model: NNLS Adj. R-squared: 0.878
No. Observations: 1177 RMSE: 51.82
Df Residuals: 1175 MAE: 42.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.9041 5.8026 0.001 91.0147 113.8660
opcount 0.0069 0.0001 0.001 0.0067 0.0071
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECRECOVER · test_ecrecover · reth
nobs 99
R² 0.8359
coef (ms) 0.006548
p-value 1.00e-03
95% CI [0.005918, 0.007205]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.834
No. Observations: 99 RMSE: 58.53
Df Residuals: 97 MAE: 48.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 121.0467 23.1192 0.001 76.5813 167.6927
opcount 0.0065 0.0003 0.001 0.0059 0.0072
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHA256 · test_sha256_fixed_size · besu
nobs 18865
R² 0.9329
coef (ms) 0.0002828
p-value 1.00e-03
95% CI [0.0002818, 0.0002839]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.933
No. Observations: 18865 RMSE: 30.58
Df Residuals: 18862 MAE: 24.90
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 71.9103 0.4993 0.001 70.9377 72.8872
opcount 0.0003 0.0000 0.001 0.0003 0.0003
size_words 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHA256 · test_sha256_fixed_size · erigon
nobs 1265
R² 0.9527
coef (ms) 0.0005896
p-value 1.00e-03
95% CI [0.0005836, 0.0005966]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.953
No. Observations: 1265 RMSE: 52.92
Df Residuals: 1262 MAE: 28.62
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.5027 3.2986 0.001 16.9966 29.6212
opcount 0.0006 0.0000 0.001 0.0006 0.0006
size_words 0.0000 0.0000 0.357 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHA256 · test_sha256_fixed_size · ethrex
nobs 8030
R² 0.8064
coef (ms) 4.906e-05
p-value 1.00e-03
95% CI [4.846e-05, 4.964e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.806
Model: NNLS Adj. R-squared: 0.806
No. Observations: 8030 RMSE: 8.53
Df Residuals: 8027 MAE: 6.82
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.5264 0.3151 0.001 15.9297 17.1678
opcount 0.0000 0.0000 0.001 0.0000 0.0000
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHA256 · test_sha256_fixed_size · geth
nobs 21120
R² 0.7586
coef (ms) 0.0001042
p-value 1.00e-03
95% CI [0.0001035, 0.0001049]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.759
Model: NNLS Adj. R-squared: 0.759
No. Observations: 21120 RMSE: 20.79
Df Residuals: 21117 MAE: 16.56
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.3073 0.4457 0.001 17.4308 19.1587
opcount 0.0001 0.0000 0.001 0.0001 0.0001
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHA256 · test_sha256_fixed_size · nethermind
nobs 5885
R² 0.9369
coef (ms) 0.0002234
p-value 1.00e-03
95% CI [0.0002215, 0.0002252]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.937
Model: NNLS Adj. R-squared: 0.937
No. Observations: 5885 RMSE: 22.36
Df Residuals: 5882 MAE: 15.83
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.6986 1.0333 0.001 35.7328 39.7576
opcount 0.0002 0.0000 0.001 0.0002 0.0002
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHA256 · test_sha256_fixed_size · reth
nobs 495
R² 0.9943
coef (ms) 0.0003806
p-value 1.00e-03
95% CI [0.0003783, 0.0003827]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 495 RMSE: 11.65
Df Residuals: 492 MAE: 9.04
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.4998 1.1000 0.001 5.4802 9.7548
opcount 0.0004 0.0000 0.001 0.0004 0.0004
size_words 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHA256 · test_sha256_uncachable · besu
nobs 15092
R² 0.9238
coef (ms) 0.0003623
p-value 1.00e-03
95% CI [0.0003604, 0.0003642]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.924
Model: NNLS Adj. R-squared: 0.924
No. Observations: 15092 RMSE: 33.75
Df Residuals: 15089 MAE: 27.26
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.1856 0.9748 0.001 68.3343 72.0493
opcount 0.0004 0.0000 0.001 0.0004 0.0004
size_words 0.0000 0.0000 0.061 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHA256 · test_sha256_uncachable · erigon
nobs 1012
R² 0.9663
coef (ms) 0.0009584
p-value 1.00e-03
95% CI [0.000945, 0.0009749]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 1012 RMSE: 57.92
Df Residuals: 1009 MAE: 33.38
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.4966 6.2222 0.002 5.1654 29.1963
opcount 0.0010 0.0000 0.001 0.0009 0.0010
size_words 0.0000 0.0000 0.136 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHA256 · test_sha256_uncachable · ethrex
nobs 6424
R² 0.8093
coef (ms) 5.347e-05
p-value 1.00e-03
95% CI [5.275e-05, 5.418e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.809
No. Observations: 6424 RMSE: 8.01
Df Residuals: 6421 MAE: 6.48
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.6630 0.3284 0.001 15.9988 17.2709
opcount 0.0001 0.0000 0.001 0.0001 0.0001
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHA256 · test_sha256_uncachable · geth
nobs 16896
R² 0.7794
coef (ms) 0.0001396
p-value 1.00e-03
95% CI [0.0001383, 0.0001408]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.779
Model: NNLS Adj. R-squared: 0.779
No. Observations: 16896 RMSE: 21.78
Df Residuals: 16893 MAE: 17.90
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.0763 0.5284 0.001 11.0850 13.1232
opcount 0.0001 0.0000 0.001 0.0001 0.0001
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHA256 · test_sha256_uncachable · nethermind
nobs 4708
R² 0.9284
coef (ms) 0.0002357
p-value 1.00e-03
95% CI [0.0002334, 0.000238]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.928
Model: NNLS Adj. R-squared: 0.928
No. Observations: 4708 RMSE: 20.25
Df Residuals: 4705 MAE: 14.18
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.4434 1.0584 0.001 31.4582 35.6225
opcount 0.0002 0.0000 0.001 0.0002 0.0002
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SHA256 · test_sha256_uncachable · reth
nobs 396
R² 0.9928
coef (ms) 0.0003746
p-value 1.00e-03
95% CI [0.0003719, 0.0003773]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 396 RMSE: 10.39
Df Residuals: 393 MAE: 8.45
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.8203 1.1399 0.001 8.5518 12.8800
opcount 0.0004 0.0000 0.001 0.0004 0.0004
size_words 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RIPEMD160 · test_ripemd160_fixed_size · besu
nobs 18865
R² 0.6864
coef (ms) 0.0003516
p-value 1.00e-03
95% CI [0.0003478, 0.0003559]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.686
Model: NNLS Adj. R-squared: 0.686
No. Observations: 18865 RMSE: 19.82
Df Residuals: 18862 MAE: 12.03
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.0128 0.7424 0.001 41.4943 44.4089
opcount 0.0004 0.0000 0.001 0.0003 0.0004
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RIPEMD160 · test_ripemd160_fixed_size · erigon
nobs 1265
R² 0.6932
coef (ms) 0.0005751
p-value 1.00e-03
95% CI [0.0005462, 0.0006067]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.693
Model: NNLS Adj. R-squared: 0.693
No. Observations: 1265 RMSE: 37.52
Df Residuals: 1262 MAE: 9.46
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.4555 3.9403 0.001 10.6699 25.9301
opcount 0.0006 0.0000 0.001 0.0005 0.0006
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RIPEMD160 · test_ripemd160_fixed_size · ethrex
nobs 8030
R² 0.7998
coef (ms) 8.276e-05
p-value 1.00e-03
95% CI [8.13e-05, 8.422e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.800
No. Observations: 8030 RMSE: 4.99
Df Residuals: 8027 MAE: 4.00
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.9961 0.1784 0.001 8.6486 9.3503
opcount 0.0001 0.0000 0.001 0.0001 0.0001
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RIPEMD160 · test_ripemd160_fixed_size · geth
nobs 21120
R² 0.5939
coef (ms) 0.0001314
p-value 1.00e-03
95% CI [0.0001298, 0.0001331]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.594
Model: NNLS Adj. R-squared: 0.594
No. Observations: 21120 RMSE: 9.34
Df Residuals: 21117 MAE: 6.57
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1008 0.1996 0.001 10.7162 11.4842
opcount 0.0001 0.0000 0.001 0.0001 0.0001
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RIPEMD160 · test_ripemd160_fixed_size · nethermind
nobs 5885
R² 0.5756
coef (ms) 0.0001548
p-value 1.00e-03
95% CI [0.0001507, 0.0001592]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.576
Model: NNLS Adj. R-squared: 0.575
No. Observations: 5885 RMSE: 11.52
Df Residuals: 5882 MAE: 6.47
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.1838 0.6082 0.001 19.0151 21.4514
opcount 0.0002 0.0000 0.001 0.0002 0.0002
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RIPEMD160 · test_ripemd160_fixed_size · reth
nobs 495
R² 0.969
coef (ms) 0.000338
p-value 1.00e-03
95% CI [0.0003322, 0.0003439]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 495 RMSE: 5.62
Df Residuals: 492 MAE: 4.48
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2587 0.8012 0.001 7.6772 10.8425
opcount 0.0003 0.0000 0.001 0.0003 0.0003
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RIPEMD160 · test_ripemd160_uncachable · besu
nobs 15092
R² 0.8707
coef (ms) 0.0004482
p-value 1.00e-03
95% CI [0.0004451, 0.0004515]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 15092 RMSE: 13.42
Df Residuals: 15089 MAE: 11.03
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.5277 0.3957 0.001 30.7263 32.2608
opcount 0.0004 0.0000 0.001 0.0004 0.0005
size_words 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RIPEMD160 · test_ripemd160_uncachable · erigon
nobs 1012
R² 0.9887
coef (ms) 0.0009344
p-value 1.00e-03
95% CI [0.0009258, 0.0009431]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.989
Model: NNLS Adj. R-squared: 0.989
No. Observations: 1012 RMSE: 8.78
Df Residuals: 1009 MAE: 6.99
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.9904 0.8046 0.001 14.3608 17.5535
opcount 0.0009 0.0000 0.001 0.0009 0.0009
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RIPEMD160 · test_ripemd160_uncachable · ethrex
nobs 6424
R² 0.8151
coef (ms) 7.848e-05
p-value 1.00e-03
95% CI [7.687e-05, 8.01e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.815
No. Observations: 6424 RMSE: 4.86
Df Residuals: 6421 MAE: 3.85
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.7028 0.1915 0.001 9.3141 10.0829
opcount 0.0001 0.0000 0.001 0.0001 0.0001
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RIPEMD160 · test_ripemd160_uncachable · geth
nobs 16896
R² 0.6607
coef (ms) 0.0001475
p-value 1.00e-03
95% CI [0.0001454, 0.0001495]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.661
Model: NNLS Adj. R-squared: 0.661
No. Observations: 16896 RMSE: 8.65
Df Residuals: 16893 MAE: 6.25
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.7808 0.2183 0.001 11.3722 12.2147
opcount 0.0001 0.0000 0.001 0.0001 0.0001
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RIPEMD160 · test_ripemd160_uncachable · nethermind
nobs 4708
R² 0.6683
coef (ms) 0.0001743
p-value 1.00e-03
95% CI [0.0001697, 0.0001789]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.668
Model: NNLS Adj. R-squared: 0.668
No. Observations: 4708 RMSE: 10.71
Df Residuals: 4705 MAE: 4.96
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.9576 0.5128 0.001 12.0595 14.0470
opcount 0.0002 0.0000 0.001 0.0002 0.0002
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
RIPEMD160 · test_ripemd160_uncachable · reth
nobs 396
R² 0.962
coef (ms) 0.0003233
p-value 1.00e-03
95% CI [0.0003168, 0.0003301]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 396 RMSE: 5.13
Df Residuals: 393 MAE: 3.99
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.3969 0.8719 0.001 8.6056 12.0780
opcount 0.0003 0.0000 0.001 0.0003 0.0003
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
IDENTITY · test_identity_fixed_size · besu
nobs 15092
R² 0.9012
coef (ms) 0.0002723
p-value 1.00e-03
95% CI [0.0002709, 0.0002736]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.901
Model: NNLS Adj. R-squared: 0.901
No. Observations: 15092 RMSE: 44.19
Df Residuals: 15089 MAE: 36.75
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 75.1921 0.9688 0.001 73.4088 77.1413
opcount 0.0003 0.0000 0.001 0.0003 0.0003
size_words 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
IDENTITY · test_identity_fixed_size · erigon
nobs 1012
R² 0.9575
coef (ms) 0.0005842
p-value 1.00e-03
95% CI [0.0005768, 0.0005913]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.957
No. Observations: 1012 RMSE: 59.40
Df Residuals: 1009 MAE: 42.32
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.1984 5.2117 0.002 6.9024 27.3345
opcount 0.0006 0.0000 0.001 0.0006 0.0006
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
IDENTITY · test_identity_fixed_size · ethrex
nobs 6424
R² 0.8292
coef (ms) 3.952e-05
p-value 1.00e-03
95% CI [3.909e-05, 4.005e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 6424 RMSE: 8.79
Df Residuals: 6421 MAE: 6.86
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.2675 0.3206 0.001 14.5508 15.7884
opcount 0.0000 0.0000 0.001 0.0000 0.0000
size_words 0.0000 0.0000 0.484 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
IDENTITY · test_identity_fixed_size · geth
nobs 16896
R² 0.9725
coef (ms) 9.498e-05
p-value 1.00e-03
95% CI [9.433e-05, 9.56e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 16896 RMSE: 18.41
Df Residuals: 16893 MAE: 14.46
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.3619 0.5047 0.001 9.3550 11.3164
opcount 0.0001 0.0000 0.001 0.0001 0.0001
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
IDENTITY · test_identity_fixed_size · nethermind
nobs 4708
R² 0.963
coef (ms) 0.0001428
p-value 1.00e-03
95% CI [0.0001419, 0.0001437]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.963
Model: NNLS Adj. R-squared: 0.963
No. Observations: 4708 RMSE: 13.40
Df Residuals: 4705 MAE: 10.51
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.5654 0.6217 0.001 19.3776 21.8054
opcount 0.0001 0.0000 0.001 0.0001 0.0001
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
IDENTITY · test_identity_fixed_size · reth
nobs 396
R² 0.9946
coef (ms) 0.0003821
p-value 1.00e-03
95% CI [0.0003797, 0.0003845]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 396 RMSE: 13.74
Df Residuals: 393 MAE: 10.66
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.1743 2.0005 0.001 3.9074 11.9021
opcount 0.0004 0.0000 0.001 0.0004 0.0004
size_words 0.0000 0.0000 0.232 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
IDENTITY · test_identity_uncachable · besu
nobs 11319
R² 0.8845
coef (ms) 0.0003842
p-value 1.00e-03
95% CI [0.0003816, 0.0003868]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.884
Model: NNLS Adj. R-squared: 0.884
No. Observations: 11319 RMSE: 48.32
Df Residuals: 11316 MAE: 39.92
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 82.7485 1.3486 0.001 80.0244 85.4553
opcount 0.0004 0.0000 0.001 0.0004 0.0004
size_words 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
IDENTITY · test_identity_uncachable · erigon
nobs 759
R² 0.9563
coef (ms) 0.0009542
p-value 1.00e-03
95% CI [0.0009411, 0.0009674]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.956
Model: NNLS Adj. R-squared: 0.956
No. Observations: 759 RMSE: 70.69
Df Residuals: 756 MAE: 47.74
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.6187 6.4121 0.001 7.2915 32.7154
opcount 0.0010 0.0000 0.001 0.0009 0.0010
size_words 0.0000 0.0000 0.004 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
IDENTITY · test_identity_uncachable · ethrex
nobs 4818
R² 0.84
coef (ms) 5.023e-05
p-value 1.00e-03
95% CI [4.951e-05, 5.094e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.840
No. Observations: 4818 RMSE: 7.63
Df Residuals: 4815 MAE: 6.01
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.6215 0.3255 0.001 13.9836 15.2863
opcount 0.0001 0.0000 0.001 0.0000 0.0001
size_words 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
IDENTITY · test_identity_uncachable · geth
nobs 12672
R² 0.9628
coef (ms) 0.0001274
p-value 1.00e-03
95% CI [0.0001265, 0.0001283]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.963
Model: NNLS Adj. R-squared: 0.963
No. Observations: 12672 RMSE: 19.18
Df Residuals: 12669 MAE: 15.10
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.8855 0.5548 0.001 23.8335 25.9405
opcount 0.0001 0.0000 0.001 0.0001 0.0001
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
IDENTITY · test_identity_uncachable · nethermind
nobs 3531
R² 0.9316
coef (ms) 0.0001526
p-value 1.00e-03
95% CI [0.0001512, 0.000154]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.932
No. Observations: 3531 RMSE: 14.18
Df Residuals: 3528 MAE: 10.26
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.2316 0.8250 0.001 20.6421 23.8633
opcount 0.0002 0.0000 0.001 0.0002 0.0002
size_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
IDENTITY · test_identity_uncachable · reth
nobs 297
R² 0.9936
coef (ms) 0.0003824
p-value 1.00e-03
95% CI [0.0003794, 0.0003857]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 297 RMSE: 10.67
Df Residuals: 294 MAE: 8.12
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.8904 1.7840 0.001 1.9665 9.0461
opcount 0.0004 0.0000 0.001 0.0004 0.0004
size_words 0.0000 0.0000 0.428 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLAKE2F · test_blake2f_benchmark · besu
nobs 15092
R² 0.8694
coef (ms) 0.0003377
p-value 1.00e-03
95% CI [0.0003355, 0.0003401]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 15092 RMSE: 68.58
Df Residuals: 15089 MAE: 58.13
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 164.8539 2.0718 0.001 160.7419 168.7925
opcount 0.0003 0.0000 0.001 0.0003 0.0003
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLAKE2F · test_blake2f_benchmark · erigon
nobs 1012
R² 0.9497
coef (ms) 0.0005873
p-value 1.00e-03
95% CI [0.0005774, 0.0005967]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.950
Model: NNLS Adj. R-squared: 0.950
No. Observations: 1012 RMSE: 68.33
Df Residuals: 1009 MAE: 48.48
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.6142 7.6245 0.001 9.7859 39.9116
opcount 0.0006 0.0000 0.001 0.0006 0.0006
num_rounds 0.0000 0.0000 0.022 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLAKE2F · test_blake2f_benchmark · ethrex
nobs 6424
R² 0.8704
coef (ms) 4.528e-05
p-value 1.00e-03
95% CI [4.455e-05, 4.605e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.870
No. Observations: 6424 RMSE: 14.42
Df Residuals: 6421 MAE: 11.69
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.0893 0.6334 0.001 26.8011 29.2657
opcount 0.0000 0.0000 0.001 0.0000 0.0000
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLAKE2F · test_blake2f_benchmark · geth
nobs 16896
R² 0.9303
coef (ms) 0.000104
p-value 1.00e-03
95% CI [0.0001035, 0.0001045]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.930
Model: NNLS Adj. R-squared: 0.930
No. Observations: 16896 RMSE: 17.30
Df Residuals: 16893 MAE: 13.86
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.8236 0.4709 0.001 33.9168 35.6891
opcount 0.0001 0.0000 0.001 0.0001 0.0001
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLAKE2F · test_blake2f_benchmark · nethermind
nobs 4708
R² 0.9524
coef (ms) 0.000156
p-value 1.00e-03
95% CI [0.0001549, 0.0001571]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.952
No. Observations: 4708 RMSE: 18.83
Df Residuals: 4705 MAE: 15.38
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.8563 0.7848 0.001 27.4201 30.5033
opcount 0.0002 0.0000 0.001 0.0002 0.0002
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLAKE2F · test_blake2f_benchmark · reth
nobs 396
R² 0.9896
coef (ms) 0.0003815
p-value 1.00e-03
95% CI [0.0003779, 0.0003852]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.989
No. Observations: 396 RMSE: 19.75
Df Residuals: 393 MAE: 15.67
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.6857 3.0888 0.001 5.5188 17.8405
opcount 0.0004 0.0000 0.001 0.0004 0.0004
num_rounds 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLAKE2F · test_blake2f_uncachable · besu
nobs 15092
R² 0.8527
coef (ms) 0.0004009
p-value 1.00e-03
95% CI [0.0003979, 0.0004038]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.853
No. Observations: 15092 RMSE: 71.66
Df Residuals: 15089 MAE: 60.55
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 156.0423 2.1447 0.001 151.8053 160.3424
opcount 0.0004 0.0000 0.001 0.0004 0.0004
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLAKE2F · test_blake2f_uncachable · erigon
nobs 1012
R² 0.96
coef (ms) 0.0009381
p-value 1.00e-03
95% CI [0.0009247, 0.0009496]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.960
Model: NNLS Adj. R-squared: 0.960
No. Observations: 1012 RMSE: 79.16
Df Residuals: 1009 MAE: 58.22
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.2101 7.9310 0.001 31.3307 62.4148
opcount 0.0009 0.0000 0.001 0.0009 0.0009
num_rounds 0.0000 0.0000 0.230 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLAKE2F · test_blake2f_uncachable · ethrex
nobs 6424
R² 0.8691
coef (ms) 5.134e-05
p-value 1.00e-03
95% CI [5.049e-05, 5.218e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 6424 RMSE: 12.90
Df Residuals: 6421 MAE: 10.47
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.0197 0.5611 0.001 22.9248 25.0848
opcount 0.0001 0.0000 0.001 0.0001 0.0001
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLAKE2F · test_blake2f_uncachable · geth
nobs 16896
R² 0.9234
coef (ms) 0.0001355
p-value 1.00e-03
95% CI [0.0001347, 0.0001362]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.923
Model: NNLS Adj. R-squared: 0.923
No. Observations: 16896 RMSE: 18.46
Df Residuals: 16893 MAE: 14.54
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.9293 0.5452 0.001 22.8668 24.9796
opcount 0.0001 0.0000 0.001 0.0001 0.0001
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLAKE2F · test_blake2f_uncachable · nethermind
nobs 4708
R² 0.9331
coef (ms) 0.0001651
p-value 1.00e-03
95% CI [0.0001639, 0.0001663]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.933
No. Observations: 4708 RMSE: 19.74
Df Residuals: 4705 MAE: 14.22
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.5136 0.7634 0.001 25.0840 28.0652
opcount 0.0002 0.0000 0.001 0.0002 0.0002
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLAKE2F · test_blake2f_uncachable · reth
nobs 396
R² 0.9875
coef (ms) 0.0003756
p-value 1.00e-03
95% CI [0.0003718, 0.0003789]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.987
No. Observations: 396 RMSE: 17.44
Df Residuals: 393 MAE: 14.04
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.4682 2.6589 0.001 11.4694 21.9744
opcount 0.0004 0.0000 0.001 0.0004 0.0004
num_rounds 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
P256VERIFY · test_p256verify · besu
nobs 3773
R² 0.8686
coef (ms) 0.008331
p-value 1.00e-03
95% CI [0.008222, 0.008448]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 3773 RMSE: 29.19
Df Residuals: 3771 MAE: 24.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.9889 1.7483 0.001 73.5814 80.2655
opcount 0.0083 0.0001 0.001 0.0082 0.0084
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
P256VERIFY · test_p256verify · erigon
nobs 253
R² 0.8415
coef (ms) 0.01404
p-value 1.00e-03
95% CI [0.01343, 0.0146]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.841
No. Observations: 253 RMSE: 54.89
Df Residuals: 251 MAE: 39.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.0287 9.2001 0.001 31.8925 67.6998
opcount 0.0140 0.0003 0.001 0.0134 0.0146
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
P256VERIFY · test_p256verify · ethrex
nobs 1606
R² 0.7188
coef (ms) 0.03762
p-value 1.00e-03
95% CI [0.03636, 0.03882]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.719
Model: NNLS Adj. R-squared: 0.719
No. Observations: 1606 RMSE: 211.89
Df Residuals: 1604 MAE: 156.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 332.8464 18.4997 0.001 296.9241 370.5458
opcount 0.0376 0.0006 0.001 0.0364 0.0388
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
P256VERIFY · test_p256verify · geth
nobs 4224
R² 0.8271
coef (ms) 0.01169
p-value 1.00e-03
95% CI [0.01151, 0.01187]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.827
No. Observations: 4224 RMSE: 48.16
Df Residuals: 4222 MAE: 40.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 95.5642 2.7878 0.001 90.5489 101.2959
opcount 0.0117 0.0001 0.001 0.0115 0.0119
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
P256VERIFY · test_p256verify · nethermind
nobs 1177
R² 0.8825
coef (ms) 0.008597
p-value 1.00e-03
95% CI [0.008391, 0.00881]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.883
Model: NNLS Adj. R-squared: 0.882
No. Observations: 1177 RMSE: 28.25
Df Residuals: 1175 MAE: 23.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.2429 3.1531 0.001 53.2570 65.2473
opcount 0.0086 0.0001 0.001 0.0084 0.0088
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
P256VERIFY · test_p256verify · reth
nobs 99
R² 0.8427
coef (ms) 0.008424
p-value 1.00e-03
95% CI [0.007627, 0.009186]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.841
No. Observations: 99 RMSE: 32.78
Df Residuals: 97 MAE: 27.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.0968 12.8506 0.001 38.1110 89.1053
opcount 0.0084 0.0004 0.001 0.0076 0.0092
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
P256VERIFY · test_p256verify_uncachable · besu
nobs 3773
R² 0.9096
coef (ms) 0.0109
p-value 1.00e-03
95% CI [0.01079, 0.01101]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.910
Model: NNLS Adj. R-squared: 0.910
No. Observations: 3773 RMSE: 30.74
Df Residuals: 3771 MAE: 26.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.1992 1.6740 0.001 21.9727 28.5321
opcount 0.0109 0.0001 0.001 0.0108 0.0110
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
P256VERIFY · test_p256verify_uncachable · erigon
nobs 253
R² 0.8185
coef (ms) 0.01405
p-value 1.00e-03
95% CI [0.01305, 0.01478]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.818
No. Observations: 253 RMSE: 59.20
Df Residuals: 251 MAE: 38.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.0112 13.7764 0.001 29.2009 80.8721
opcount 0.0141 0.0004 0.001 0.0131 0.0148
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
P256VERIFY · test_p256verify_uncachable · ethrex
nobs 1606
R² 0.7189
coef (ms) 0.03773
p-value 1.00e-03
95% CI [0.03649, 0.03896]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.719
Model: NNLS Adj. R-squared: 0.719
No. Observations: 1606 RMSE: 211.05
Df Residuals: 1604 MAE: 155.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 329.1772 18.4576 0.001 293.5835 365.1386
opcount 0.0377 0.0006 0.001 0.0365 0.0390
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
P256VERIFY · test_p256verify_uncachable · geth
nobs 4224
R² 0.8258
coef (ms) 0.01184
p-value 1.00e-03
95% CI [0.01166, 0.01202]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 4224 RMSE: 48.67
Df Residuals: 4222 MAE: 40.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.4877 2.7697 0.001 87.1040 97.8485
opcount 0.0118 0.0001 0.001 0.0117 0.0120
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
P256VERIFY · test_p256verify_uncachable · nethermind
nobs 1177
R² 0.8847
coef (ms) 0.008761
p-value 1.00e-03
95% CI [0.008545, 0.008972]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.885
Model: NNLS Adj. R-squared: 0.885
No. Observations: 1177 RMSE: 28.30
Df Residuals: 1175 MAE: 23.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.8434 3.0914 0.001 50.7240 63.0342
opcount 0.0088 0.0001 0.001 0.0085 0.0090
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
P256VERIFY · test_p256verify_uncachable · reth
nobs 99
R² 0.8658
coef (ms) 0.008419
p-value 1.00e-03
95% CI [0.007681, 0.00912]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.864
No. Observations: 99 RMSE: 29.65
Df Residuals: 97 MAE: 24.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 69.2118 11.7461 0.001 47.1850 91.9381
opcount 0.0084 0.0004 0.001 0.0077 0.0091
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
POINT_EVALUATION · test_point_evaluation · besu
nobs 3773
R² 0.8753
coef (ms) 0.1732
p-value 1.00e-03
95% CI [0.1706, 0.1759]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.875
Model: NNLS Adj. R-squared: 0.875
No. Observations: 3773 RMSE: 82.77
Df Residuals: 3771 MAE: 64.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 419.6414 6.0763 0.001 408.0231 431.2430
opcount 0.1732 0.0014 0.001 0.1706 0.1759
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
POINT_EVALUATION · test_point_evaluation · erigon
nobs 253
R² 0.8983
coef (ms) 0.1788
p-value 1.00e-03
95% CI [0.1718, 0.1854]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.898
Model: NNLS Adj. R-squared: 0.898
No. Observations: 253 RMSE: 76.18
Df Residuals: 251 MAE: 67.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 67.8188 15.0361 0.001 37.7247 98.6735
opcount 0.1788 0.0034 0.001 0.1718 0.1854
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
POINT_EVALUATION · test_point_evaluation · ethrex
nobs 1606
R² 0.8134
coef (ms) 0.2363
p-value 1.00e-03
95% CI [0.2308, 0.2424]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.813
No. Observations: 1606 RMSE: 143.34
Df Residuals: 1604 MAE: 123.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 294.6640 13.4740 0.001 268.2625 320.1608
opcount 0.2363 0.0030 0.001 0.2308 0.2424
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
POINT_EVALUATION · test_point_evaluation · geth
nobs 4224
R² 0.8293
coef (ms) 0.198
p-value 1.00e-03
95% CI [0.195, 0.2011]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 4224 RMSE: 113.76
Df Residuals: 4222 MAE: 96.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 230.6452 6.8396 0.001 216.3803 243.7533
opcount 0.1980 0.0016 0.001 0.1950 0.2011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
POINT_EVALUATION · test_point_evaluation · nethermind
nobs 1177
R² 0.8778
coef (ms) 0.2158
p-value 1.00e-03
95% CI [0.2107, 0.2213]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.878
No. Observations: 1177 RMSE: 102.01
Df Residuals: 1175 MAE: 84.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 199.3622 11.4076 0.001 177.0164 221.1924
opcount 0.2158 0.0028 0.001 0.2107 0.2213
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
POINT_EVALUATION · test_point_evaluation · reth
nobs 99
R² 0.8398
coef (ms) 0.1978
p-value 1.00e-03
95% CI [0.1799, 0.2152]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.838
No. Observations: 99 RMSE: 109.44
Df Residuals: 97 MAE: 94.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 224.9285 41.7326 0.001 149.6991 313.9231
opcount 0.1978 0.0093 0.001 0.1799 0.2152
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
POINT_EVALUATION · test_point_evaluation_uncachable · besu
nobs 3773
R² 0.8756
coef (ms) 0.2083
p-value 1.00e-03
95% CI [0.2058, 0.2109]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.876
Model: NNLS Adj. R-squared: 0.876
No. Observations: 3773 RMSE: 92.95
Df Residuals: 3771 MAE: 78.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 219.8915 5.5154 0.001 208.6432 230.0847
opcount 0.2083 0.0013 0.001 0.2058 0.2109
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
POINT_EVALUATION · test_point_evaluation_uncachable · erigon
nobs 253
R² 0.8961
coef (ms) 0.1944
p-value 1.00e-03
95% CI [0.1876, 0.2015]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.896
No. Observations: 253 RMSE: 78.36
Df Residuals: 251 MAE: 68.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 68.0575 15.2898 0.001 38.0521 96.5096
opcount 0.1944 0.0037 0.001 0.1876 0.2015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
POINT_EVALUATION · test_point_evaluation_uncachable · ethrex
nobs 1606
R² 0.815
coef (ms) 0.2382
p-value 1.00e-03
95% CI [0.2323, 0.2441]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.815
No. Observations: 1606 RMSE: 134.35
Df Residuals: 1604 MAE: 116.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 284.0876 12.8653 0.001 259.6112 308.7173
opcount 0.2382 0.0031 0.001 0.2323 0.2441
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
POINT_EVALUATION · test_point_evaluation_uncachable · geth
nobs 4224
R² 0.8411
coef (ms) 0.1923
p-value 1.00e-03
95% CI [0.1897, 0.195]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.841
No. Observations: 4224 RMSE: 98.96
Df Residuals: 4222 MAE: 83.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 194.8299 5.4487 0.001 184.0624 205.3000
opcount 0.1923 0.0013 0.001 0.1897 0.1950
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
POINT_EVALUATION · test_point_evaluation_uncachable · nethermind
nobs 1177
R² 0.864
coef (ms) 0.2344
p-value 1.00e-03
95% CI [0.2283, 0.2402]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.864
No. Observations: 1177 RMSE: 110.07
Df Residuals: 1175 MAE: 84.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 149.0934 11.1093 0.001 128.0146 171.4858
opcount 0.2344 0.0031 0.001 0.2283 0.2402
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
POINT_EVALUATION · test_point_evaluation_uncachable · reth
nobs 99
R² 0.8355
coef (ms) 0.1966
p-value 1.00e-03
95% CI [0.178, 0.2139]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.834
No. Observations: 99 RMSE: 103.29
Df Residuals: 97 MAE: 86.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 225.5452 39.6374 0.001 152.3949 305.7742
opcount 0.1966 0.0094 0.001 0.1780 0.2139
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add · besu
nobs 3773
R² 0.8855
coef (ms) 0.0006192
p-value 1.00e-03
95% CI [0.0006122, 0.0006265]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.885
Model: NNLS Adj. R-squared: 0.885
No. Observations: 3773 RMSE: 52.47
Df Residuals: 3771 MAE: 44.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 150.9889 2.9790 0.001 145.0060 156.6153
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add · erigon
nobs 253
R² 0.9285
coef (ms) 0.0007154
p-value 1.00e-03
95% CI [0.0006939, 0.0007369]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.929
Model: NNLS Adj. R-squared: 0.928
No. Observations: 253 RMSE: 46.78
Df Residuals: 251 MAE: 39.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.1331 9.3707 0.001 24.9447 61.6188
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add · ethrex
nobs 1606
R² 0.8263
coef (ms) 0.0005761
p-value 1.00e-03
95% CI [0.0005632, 0.0005896]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 1606 RMSE: 62.26
Df Residuals: 1604 MAE: 53.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 135.5348 5.4648 0.001 124.5211 146.5376
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add · geth
nobs 4224
R² 0.8807
coef (ms) 0.0003889
p-value 1.00e-03
95% CI [0.0003847, 0.0003933]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.881
No. Observations: 4224 RMSE: 33.74
Df Residuals: 4222 MAE: 29.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 80.3836 1.8952 0.001 76.8058 84.0218
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add · nethermind
nobs 1177
R² 0.916
coef (ms) 0.0004385
p-value 1.00e-03
95% CI [0.0004306, 0.0004457]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.916
Model: NNLS Adj. R-squared: 0.916
No. Observations: 1177 RMSE: 31.30
Df Residuals: 1175 MAE: 24.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 77.6281 2.9522 0.001 71.9879 83.4210
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add · reth
nobs 99
R² 0.867
coef (ms) 0.0005895
p-value 1.00e-03
95% CI [0.0005412, 0.0006379]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 99 RMSE: 54.42
Df Residuals: 97 MAE: 45.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 133.0129 20.8191 0.001 93.7482 175.6213
opcount 0.0006 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add_infinities · besu
nobs 3773
R² 0.8908
coef (ms) 0.0003656
p-value 1.00e-03
95% CI [0.0003612, 0.00037]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.891
No. Observations: 3773 RMSE: 30.17
Df Residuals: 3771 MAE: 25.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 77.7908 1.8338 0.001 74.4108 81.3801
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add_infinities · erigon
nobs 253
R² 0.9182
coef (ms) 0.0005725
p-value 1.00e-03
95% CI [0.0005577, 0.0005858]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.918
No. Observations: 253 RMSE: 40.27
Df Residuals: 251 MAE: 23.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.6475 6.1961 0.001 12.2095 36.6863
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add_infinities · ethrex
nobs 1606
R² 0.8416
coef (ms) 0.0001402
p-value 1.00e-03
95% CI [0.0001368, 0.0001434]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.842
Model: NNLS Adj. R-squared: 0.842
No. Observations: 1606 RMSE: 14.33
Df Residuals: 1604 MAE: 11.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.8297 1.3050 0.001 24.3261 29.4616
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add_infinities · geth
nobs 4224
R² 0.7894
coef (ms) 0.0001097
p-value 1.00e-03
95% CI [0.0001082, 0.0001113]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.789
Model: NNLS Adj. R-squared: 0.789
No. Observations: 4224 RMSE: 13.36
Df Residuals: 4222 MAE: 10.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.5738 0.6912 0.001 11.2186 13.8904
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add_infinities · nethermind
nobs 1177
R² 0.919
coef (ms) 0.0002006
p-value 1.00e-03
95% CI [0.0001977, 0.0002034]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.919
Model: NNLS Adj. R-squared: 0.919
No. Observations: 1177 RMSE: 14.03
Df Residuals: 1175 MAE: 9.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.9026 0.9845 0.001 13.9923 17.9049
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add_infinities · reth
nobs 99
R² 0.9867
coef (ms) 0.0003772
p-value 1.00e-03
95% CI [0.0003692, 0.0003854]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.987
Model: NNLS Adj. R-squared: 0.987
No. Observations: 99 RMSE: 10.31
Df Residuals: 97 MAE: 8.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.5468 3.4866 0.016 0.6702 14.2900
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add_negative · besu
nobs 3773
R² 0.8864
coef (ms) 0.0003839
p-value 1.00e-03
95% CI [0.0003794, 0.000389]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.886
No. Observations: 3773 RMSE: 32.39
Df Residuals: 3771 MAE: 27.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.3114 2.0614 0.001 79.0355 86.9837
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add_negative · erigon
nobs 253
R² 0.8495
coef (ms) 0.0005786
p-value 1.00e-03
95% CI [0.0005584, 0.0005957]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.850
Model: NNLS Adj. R-squared: 0.849
No. Observations: 253 RMSE: 57.39
Df Residuals: 251 MAE: 29.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.9504 8.4182 0.001 14.8965 47.3212
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add_negative · ethrex
nobs 1606
R² 0.8413
coef (ms) 0.0002004
p-value 1.00e-03
95% CI [0.000196, 0.0002053]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.841
No. Observations: 1606 RMSE: 20.51
Df Residuals: 1604 MAE: 17.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.4645 1.9240 0.001 42.4924 50.1106
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add_negative · geth
nobs 4224
R² 0.8743
coef (ms) 0.0001693
p-value 1.00e-03
95% CI [0.0001675, 0.0001712]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.874
Model: NNLS Adj. R-squared: 0.874
No. Observations: 4224 RMSE: 15.13
Df Residuals: 4222 MAE: 11.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.1971 0.8860 0.001 15.3874 18.7814
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add_negative · nethermind
nobs 1177
R² 0.9102
coef (ms) 0.0002673
p-value 1.00e-03
95% CI [0.0002623, 0.000272]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.910
Model: NNLS Adj. R-squared: 0.910
No. Observations: 1177 RMSE: 19.78
Df Residuals: 1175 MAE: 13.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.0900 1.9198 0.001 23.6909 31.0680
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo add_negative · reth
nobs 99
R² 0.9774
coef (ms) 0.0003535
p-value 1.00e-03
95% CI [0.0003448, 0.0003627]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 99 RMSE: 12.67
Df Residuals: 97 MAE: 10.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.1619 3.7891 0.001 17.4157 33.0829
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo double · besu
nobs 3773
R² 0.8824
coef (ms) 0.0006551
p-value 1.00e-03
95% CI [0.0006461, 0.0006632]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.882
No. Observations: 3773 RMSE: 56.36
Df Residuals: 3771 MAE: 48.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 127.5295 3.5129 0.001 121.0183 134.7763
opcount 0.0007 0.0000 0.001 0.0006 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo double · erigon
nobs 253
R² 0.8592
coef (ms) 0.0007102
p-value 1.00e-03
95% CI [0.000684, 0.0007343]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.859
No. Observations: 253 RMSE: 67.77
Df Residuals: 251 MAE: 47.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.4151 11.8392 0.001 34.0594 80.3871
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo double · ethrex
nobs 1606
R² 0.827
coef (ms) 0.0005872
p-value 1.00e-03
95% CI [0.0005731, 0.0006011]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.827
No. Observations: 1606 RMSE: 63.28
Df Residuals: 1604 MAE: 54.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 133.9170 5.9773 0.001 122.3189 145.9895
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo double · geth
nobs 4224
R² 0.8795
coef (ms) 0.0004047
p-value 1.00e-03
95% CI [0.0003996, 0.0004095]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.879
Model: NNLS Adj. R-squared: 0.879
No. Observations: 4224 RMSE: 35.31
Df Residuals: 4222 MAE: 30.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 73.4020 2.0856 0.001 69.6051 77.7867
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo double · nethermind
nobs 1177
R² 0.929
coef (ms) 0.0004718
p-value 1.00e-03
95% CI [0.000464, 0.0004791]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.929
Model: NNLS Adj. R-squared: 0.929
No. Observations: 1177 RMSE: 30.75
Df Residuals: 1175 MAE: 23.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.5664 2.9314 0.001 43.2041 54.3373
opcount 0.0005 0.0000 0.001 0.0005 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128 · combo double · reth
nobs 99
R² 0.8591
coef (ms) 0.0006084
p-value 1.00e-03
95% CI [0.0005562, 0.0006598]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.858
No. Observations: 99 RMSE: 58.07
Df Residuals: 97 MAE: 48.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 122.7038 22.3725 0.001 79.8058 165.7491
opcount 0.0006 0.0000 0.001 0.0006 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128_uncachable · besu
nobs 3773
R² 0.8778
coef (ms) 0.0008981
p-value 1.00e-03
95% CI [0.0008869, 0.0009088]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.878
No. Observations: 3773 RMSE: 71.74
Df Residuals: 3771 MAE: 61.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 173.8596 4.3407 0.001 165.7653 182.6492
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128_uncachable · erigon
nobs 253
R² 0.9356
coef (ms) 0.001075
p-value 1.00e-03
95% CI [0.001042, 0.001105]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.936
Model: NNLS Adj. R-squared: 0.935
No. Observations: 253 RMSE: 60.38
Df Residuals: 251 MAE: 51.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 65.9318 12.5068 0.001 42.4962 90.5767
opcount 0.0011 0.0000 0.001 0.0010 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128_uncachable · ethrex
nobs 1606
R² 0.8154
coef (ms) 0.0009038
p-value 1.00e-03
95% CI [0.0008822, 0.0009274]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.815
No. Observations: 1606 RMSE: 92.05
Df Residuals: 1604 MAE: 79.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 187.1475 8.6028 0.001 169.1479 202.9507
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128_uncachable · geth
nobs 4224
R² 0.8613
coef (ms) 0.0006026
p-value 1.00e-03
95% CI [0.0005947, 0.0006098]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.861
No. Observations: 4224 RMSE: 51.78
Df Residuals: 4222 MAE: 44.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 107.4087 3.0149 0.001 101.8103 113.9190
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128_uncachable · nethermind
nobs 1177
R² 0.9444
coef (ms) 0.0007573
p-value 1.00e-03
95% CI [0.0007465, 0.0007677]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.944
Model: NNLS Adj. R-squared: 0.944
No. Observations: 1177 RMSE: 39.32
Df Residuals: 1175 MAE: 31.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.2242 3.5718 0.001 63.0596 77.2062
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECADD · test_alt_bn128_uncachable · reth
nobs 99
R² 0.8362
coef (ms) 0.0009582
p-value 1.00e-03
95% CI [0.00087, 0.001044]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.835
No. Observations: 99 RMSE: 90.79
Df Residuals: 97 MAE: 77.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 186.4975 34.3214 0.001 121.1542 255.6964
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECMUL · test_alt_bn128 · besu
nobs 11319
R² 0.03862
coef (ms) 0.002964
p-value 1.00e-03
95% CI [0.002708, 0.003217]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.039
Model: NNLS Adj. R-squared: 0.039
No. Observations: 11319 RMSE: 152.76
Df Residuals: 11317 MAE: 138.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.8158 3.8428 0.001 22.3446 37.3198
opcount 0.0030 0.0001 0.001 0.0027 0.0032
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECMUL · test_alt_bn128 · erigon
nobs 759
R² 0.1409
coef (ms) 0.005046
p-value 1.00e-03
95% CI [0.004116, 0.0058]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.141
Model: NNLS Adj. R-squared: 0.140
No. Observations: 759 RMSE: 128.71
Df Residuals: 757 MAE: 102.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.6288 12.3027 0.065 0.0000 46.6056
opcount 0.0050 0.0004 0.001 0.0041 0.0058
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECMUL · test_alt_bn128 · ethrex
nobs 4818
R² 0.03177
coef (ms) 0.004336
p-value 1.00e-03
95% CI [0.00367, 0.005027]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.032
Model: NNLS Adj. R-squared: 0.032
No. Observations: 4818 RMSE: 247.28
Df Residuals: 4816 MAE: 224.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.8560 10.3946 0.001 23.4100 63.4032
opcount 0.0043 0.0004 0.001 0.0037 0.0050
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECMUL · test_alt_bn128 · geth
nobs 12672
R² 0.2292
coef (ms) 0.005026
p-value 1.00e-03
95% CI [0.004872, 0.005175]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.229
Model: NNLS Adj. R-squared: 0.229
No. Observations: 12672 RMSE: 95.21
Df Residuals: 12670 MAE: 82.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.8589 2.4119 0.001 43.2540 52.6924
opcount 0.0050 0.0001 0.001 0.0049 0.0052
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECMUL · test_alt_bn128 · nethermind
nobs 3531
R² 0.0519
coef (ms) 0.003761
p-value 1.00e-03
95% CI [0.003225, 0.004316]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.052
Model: NNLS Adj. R-squared: 0.052
No. Observations: 3531 RMSE: 166.03
Df Residuals: 3529 MAE: 149.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.8812 7.8364 0.009 4.3264 35.3936
opcount 0.0038 0.0003 0.001 0.0032 0.0043
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECMUL · test_alt_bn128 · reth
nobs 297
R² 0.03511
coef (ms) 0.004583
p-value 1.00e-03
95% CI [0.001956, 0.006466]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.035
Model: NNLS Adj. R-squared: 0.032
No. Observations: 297 RMSE: 248.15
Df Residuals: 295 MAE: 224.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.5992 35.2434 0.153 0.0000 123.3979
opcount 0.0046 0.0012 0.001 0.0020 0.0065
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECMUL · test_alt_bn128_uncachable · besu
nobs 7546
R² 0.07796
coef (ms) 0.005302
p-value 1.00e-03
95% CI [0.004942, 0.005727]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.078
Model: NNLS Adj. R-squared: 0.078
No. Observations: 7546 RMSE: 187.38
Df Residuals: 7544 MAE: 180.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.9344 5.9757 0.001 36.7592 60.2960
opcount 0.0053 0.0002 0.001 0.0049 0.0057
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECMUL · test_alt_bn128_uncachable · erigon
nobs 506
R² 0.09823
coef (ms) 0.00582
p-value 1.00e-03
95% CI [0.004336, 0.007053]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.098
Model: NNLS Adj. R-squared: 0.096
No. Observations: 506 RMSE: 181.21
Df Residuals: 504 MAE: 171.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.7266 21.1567 0.138 0.0000 70.3120
opcount 0.0058 0.0007 0.001 0.0043 0.0071
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECMUL · test_alt_bn128_uncachable · ethrex
nobs 3212
R² 0.0648
coef (ms) 0.008228
p-value 1.00e-03
95% CI [0.007152, 0.009275]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.065
Model: NNLS Adj. R-squared: 0.065
No. Observations: 3212 RMSE: 321.22
Df Residuals: 3210 MAE: 307.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.4000 16.3024 0.001 52.6237 116.0190
opcount 0.0082 0.0006 0.001 0.0072 0.0093
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECMUL · test_alt_bn128_uncachable · geth
nobs 8448
R² 0.1739
coef (ms) 0.006424
p-value 1.00e-03
95% CI [0.006112, 0.006729]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.174
Model: NNLS Adj. R-squared: 0.174
No. Observations: 8448 RMSE: 143.90
Df Residuals: 8446 MAE: 136.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 65.8656 4.6578 0.001 56.9687 74.9805
opcount 0.0064 0.0002 0.001 0.0061 0.0067
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECMUL · test_alt_bn128_uncachable · nethermind
nobs 2354
R² 0.08927
coef (ms) 0.005584
p-value 1.00e-03
95% CI [0.004888, 0.006348]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.089
Model: NNLS Adj. R-squared: 0.089
No. Observations: 2354 RMSE: 183.27
Df Residuals: 2352 MAE: 175.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.7595 10.8106 0.003 7.6277 47.8129
opcount 0.0056 0.0004 0.001 0.0049 0.0063
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECMUL · test_alt_bn128_uncachable · reth
nobs 198
R² 0.0662
coef (ms) 0.008392
p-value 1.00e-03
95% CI [0.00419, 0.01179]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.066
Model: NNLS Adj. R-squared: 0.061
No. Observations: 198 RMSE: 323.91
Df Residuals: 196 MAE: 310.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 84.3733 60.4721 0.094 0.0000 207.1892
opcount 0.0084 0.0021 0.001 0.0042 0.0118
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECPAIRING · test_alt_bn128_benchmark · besu
nobs 18865
R² 0.8814
coef (ms) 0.04591
p-value 1.00e-03
95% CI [0.04559, 0.04625]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.881
No. Observations: 18865 RMSE: 20.24
Df Residuals: 18862 MAE: 17.13
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.6843 0.5477 0.001 51.6086 53.7163
opcount 0.0459 0.0002 0.001 0.0456 0.0463
num_pairs 0.0262 0.0001 0.001 0.0260 0.0264
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECPAIRING · test_alt_bn128_benchmark · erigon
nobs 1265
R² 0.773
coef (ms) 0.05038
p-value 1.00e-03
95% CI [0.0484, 0.05208]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.773
Model: NNLS Adj. R-squared: 0.773
No. Observations: 1265 RMSE: 33.63
Df Residuals: 1262 MAE: 18.96
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.8681 4.1271 0.001 18.1374 34.7869
opcount 0.0504 0.0009 0.001 0.0484 0.0521
num_pairs 0.0298 0.0007 0.001 0.0285 0.0312
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECPAIRING · test_alt_bn128_benchmark · ethrex
nobs 8030
R² 0.8119
coef (ms) 0.04757
p-value 1.00e-03
95% CI [0.04627, 0.04884]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.812
Model: NNLS Adj. R-squared: 0.812
No. Observations: 8030 RMSE: 53.62
Df Residuals: 8027 MAE: 44.92
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 110.6561 2.2176 0.001 106.2556 114.9789
opcount 0.0476 0.0007 0.001 0.0463 0.0488
num_pairs 0.0589 0.0003 0.001 0.0582 0.0596
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECPAIRING · test_alt_bn128_benchmark · geth
nobs 21120
R² 0.8181
coef (ms) 0.04433
p-value 1.00e-03
95% CI [0.04393, 0.04473]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.818
No. Observations: 21120 RMSE: 25.90
Df Residuals: 21117 MAE: 21.69
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.7320 0.6553 0.001 51.4843 54.0272
opcount 0.0443 0.0002 0.001 0.0439 0.0447
num_pairs 0.0265 0.0001 0.001 0.0263 0.0267
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECPAIRING · test_alt_bn128_benchmark · nethermind
nobs 5885
R² 0.9345
coef (ms) 0.0665
p-value 1.00e-03
95% CI [0.06515, 0.06787]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.935
Model: NNLS Adj. R-squared: 0.935
No. Observations: 5885 RMSE: 51.30
Df Residuals: 5882 MAE: 40.40
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.7046 2.1089 0.001 75.4760 83.6738
opcount 0.0665 0.0007 0.001 0.0652 0.0679
num_pairs 0.1024 0.0004 0.001 0.1016 0.1032
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECPAIRING · test_alt_bn128_benchmark · reth
nobs 495
R² 0.8172
coef (ms) 0.04688
p-value 1.00e-03
95% CI [0.04257, 0.05164]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.817
No. Observations: 495 RMSE: 51.84
Df Residuals: 492 MAE: 43.05
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 112.0218 8.0009 0.001 96.5744 126.9719
opcount 0.0469 0.0023 0.001 0.0426 0.0516
num_pairs 0.0580 0.0013 0.001 0.0555 0.0605
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECPAIRING · test_ec_pairing · besu
nobs 18865
R² 0.9074
coef (ms) 0.05104
p-value 1.00e-03
95% CI [0.05066, 0.05141]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.907
No. Observations: 18865 RMSE: 19.21
Df Residuals: 18862 MAE: 16.00
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.8064 0.5170 0.001 42.7650 44.8487
opcount 0.0510 0.0002 0.001 0.0507 0.0514
num_pairs 0.0331 0.0001 0.001 0.0329 0.0333
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECPAIRING · test_ec_pairing · erigon
nobs 1265
R² 0.8659
coef (ms) 0.04766
p-value 1.00e-03
95% CI [0.0464, 0.04892]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.866
No. Observations: 1265 RMSE: 26.20
Df Residuals: 1262 MAE: 15.91
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.6896 1.8236 0.001 22.3117 29.4717
opcount 0.0477 0.0006 0.001 0.0464 0.0489
num_pairs 0.0397 0.0004 0.001 0.0389 0.0403
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECPAIRING · test_ec_pairing · ethrex
nobs 8030
R² 0.834
coef (ms) 0.08182
p-value 1.00e-03
95% CI [0.08068, 0.08297]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 8030 RMSE: 47.42
Df Residuals: 8027 MAE: 40.36
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 111.7864 1.9082 0.001 108.0147 115.4850
opcount 0.0818 0.0006 0.001 0.0807 0.0830
num_pairs 0.0616 0.0003 0.001 0.0609 0.0622
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECPAIRING · test_ec_pairing · geth
nobs 21120
R² 0.8672
coef (ms) 0.04134
p-value 1.00e-03
95% CI [0.04095, 0.04174]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.867
No. Observations: 21120 RMSE: 25.06
Df Residuals: 21117 MAE: 20.80
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.3259 0.6627 0.001 48.9882 51.6121
opcount 0.0413 0.0002 0.001 0.0409 0.0417
num_pairs 0.0392 0.0001 0.001 0.0390 0.0394
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECPAIRING · test_ec_pairing · nethermind
nobs 5885
R² 0.9467
coef (ms) 0.05279
p-value 1.00e-03
95% CI [0.05157, 0.05403]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.947
Model: NNLS Adj. R-squared: 0.947
No. Observations: 5885 RMSE: 43.12
Df Residuals: 5882 MAE: 34.65
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.8487 1.7530 0.001 69.6343 76.3230
opcount 0.0528 0.0006 0.001 0.0516 0.0540
num_pairs 0.1172 0.0004 0.001 0.1164 0.1179
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
ECPAIRING · test_ec_pairing · reth
nobs 495
R² 0.8392
coef (ms) 0.08247
p-value 1.00e-03
95% CI [0.07785, 0.08735]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.839
No. Observations: 495 RMSE: 46.22
Df Residuals: 492 MAE: 38.57
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 105.5209 7.4806 0.001 91.2479 120.5613
opcount 0.0825 0.0024 0.001 0.0778 0.0873
num_pairs 0.0608 0.0013 0.001 0.0582 0.0634
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_G1ADD · test_bls12_381 · besu
nobs 3773
R² 0.8574
coef (ms) 0.001743
p-value 1.00e-03
95% CI [0.001719, 0.001766]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.857
Model: NNLS Adj. R-squared: 0.857
No. Observations: 3773 RMSE: 91.07
Df Residuals: 3771 MAE: 71.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 99.0832 5.7432 0.001 87.8637 110.5309
opcount 0.0017 0.0000 0.001 0.0017 0.0018
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_G1ADD · test_bls12_381 · erigon
nobs 253
R² 0.8252
coef (ms) 0.001004
p-value 1.00e-03
95% CI [0.0009655, 0.001037]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.825
Model: NNLS Adj. R-squared: 0.825
No. Observations: 253 RMSE: 59.19
Df Residuals: 251 MAE: 38.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.3857 8.3779 0.001 28.3347 60.3176
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_G1ADD · test_bls12_381 · ethrex
nobs 1606
R² 0.05196
coef (ms) 0.002305
p-value 1.00e-03
95% CI [0.001829, 0.002769]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.052
Model: NNLS Adj. R-squared: 0.051
No. Observations: 1606 RMSE: 1261.33
Df Residuals: 1604 MAE: 1130.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 286.7953 89.6645 0.001 110.8436 460.8887
opcount 0.0023 0.0002 0.001 0.0018 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_G1ADD · test_bls12_381 · geth
nobs 4224
R² 0.9002
coef (ms) 0.0007327
p-value 1.00e-03
95% CI [0.0007247, 0.0007398]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.900
Model: NNLS Adj. R-squared: 0.900
No. Observations: 4224 RMSE: 31.24
Df Residuals: 4222 MAE: 26.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 65.2578 1.8044 0.001 61.9085 68.7923
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_G1ADD · test_bls12_381 · nethermind
nobs 1177
R² 0.939
coef (ms) 0.0009715
p-value 1.00e-03
95% CI [0.0009569, 0.0009853]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.939
Model: NNLS Adj. R-squared: 0.939
No. Observations: 1177 RMSE: 31.72
Df Residuals: 1175 MAE: 25.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.2551 2.7684 0.001 70.8501 81.5659
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_G1ADD · test_bls12_381 · reth
nobs 99
R² 0.8538
coef (ms) 0.0007585
p-value 1.00e-03
95% CI [0.0006852, 0.000828]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.852
No. Observations: 99 RMSE: 40.20
Df Residuals: 97 MAE: 34.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 90.0398 16.2699 0.001 58.7032 123.1038
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_G2ADD · test_bls12_381 · besu
nobs 3773
R² 0.8685
coef (ms) 0.002117
p-value 1.00e-03
95% CI [0.002089, 0.002146]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 3773 RMSE: 72.44
Df Residuals: 3771 MAE: 58.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.7036 4.3147 0.001 81.2235 98.1465
opcount 0.0021 0.0000 0.001 0.0021 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_G2ADD · test_bls12_381 · erigon
nobs 253
R² 0.8064
coef (ms) 0.00127
p-value 1.00e-03
95% CI [0.001219, 0.001321]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.806
Model: NNLS Adj. R-squared: 0.806
No. Observations: 253 RMSE: 54.75
Df Residuals: 251 MAE: 34.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.9007 7.3729 0.001 28.5538 57.0333
opcount 0.0013 0.0000 0.001 0.0012 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_G2ADD · test_bls12_381 · ethrex
nobs 1606
R² 0.06768
coef (ms) 0.002724
p-value 1.00e-03
95% CI [0.002262, 0.003208]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.068
Model: NNLS Adj. R-squared: 0.067
No. Observations: 1606 RMSE: 889.19
Df Residuals: 1604 MAE: 795.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 234.5766 61.6422 0.001 115.7500 354.7063
opcount 0.0027 0.0002 0.001 0.0023 0.0032
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_G2ADD · test_bls12_381 · geth
nobs 4224
R² 0.8991
coef (ms) 0.001049
p-value 1.00e-03
95% CI [0.001036, 0.001062]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.899
No. Observations: 4224 RMSE: 30.91
Df Residuals: 4222 MAE: 25.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.1543 1.9317 0.001 51.4468 59.0458
opcount 0.0010 0.0000 0.001 0.0010 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_G2ADD · test_bls12_381 · nethermind
nobs 1177
R² 0.9363
coef (ms) 0.001488
p-value 1.00e-03
95% CI [0.001467, 0.001509]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.936
Model: NNLS Adj. R-squared: 0.936
No. Observations: 1177 RMSE: 34.14
Df Residuals: 1175 MAE: 27.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 82.7973 3.0325 0.001 77.0557 88.7285
opcount 0.0015 0.0000 0.001 0.0015 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_G2ADD · test_bls12_381 · reth
nobs 99
R² 0.8454
coef (ms) 0.001013
p-value 1.00e-03
95% CI [0.0009255, 0.001108]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.844
No. Observations: 99 RMSE: 38.10
Df Residuals: 97 MAE: 31.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.4848 14.6671 0.001 72.5037 128.0705
opcount 0.0010 0.0000 0.001 0.0009 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_MAP_FP_TO_G1 · test_bls12_381 · besu
nobs 3773
R² 0.8614
coef (ms) 0.009836
p-value 1.00e-03
95% CI [0.009724, 0.009947]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.861
No. Observations: 3773 RMSE: 44.38
Df Residuals: 3771 MAE: 37.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.4184 2.1402 0.001 92.3221 100.4402
opcount 0.0098 0.0001 0.001 0.0097 0.0099
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_MAP_FP_TO_G1 · test_bls12_381 · erigon
nobs 253
R² 0.7793
coef (ms) 0.01037
p-value 1.00e-03
95% CI [0.009864, 0.01081]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.779
Model: NNLS Adj. R-squared: 0.778
No. Observations: 253 RMSE: 62.10
Df Residuals: 251 MAE: 41.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.5028 10.9606 0.001 30.6274 73.9711
opcount 0.0104 0.0002 0.001 0.0099 0.0108
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_MAP_FP_TO_G1 · test_bls12_381 · ethrex
nobs 1606
R² 0.3117
coef (ms) 0.01134
p-value 1.00e-03
95% CI [0.01052, 0.01214]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.312
Model: NNLS Adj. R-squared: 0.311
No. Observations: 1606 RMSE: 189.56
Df Residuals: 1604 MAE: 162.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 127.6354 13.6027 0.001 101.2929 154.1162
opcount 0.0113 0.0004 0.001 0.0105 0.0121
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_MAP_FP_TO_G1 · test_bls12_381 · geth
nobs 4224
R² 0.8289
coef (ms) 0.009093
p-value 1.00e-03
95% CI [0.008958, 0.00923]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 4224 RMSE: 46.47
Df Residuals: 4222 MAE: 39.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 97.6026 2.6517 0.001 92.2475 102.5726
opcount 0.0091 0.0001 0.001 0.0090 0.0092
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_MAP_FP_TO_G1 · test_bls12_381 · nethermind
nobs 1177
R² 0.9321
coef (ms) 0.0098
p-value 1.00e-03
95% CI [0.009647, 0.009949]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.932
No. Observations: 1177 RMSE: 29.76
Df Residuals: 1175 MAE: 24.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 65.0739 2.6315 0.001 59.8180 70.1794
opcount 0.0098 0.0001 0.001 0.0096 0.0099
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_MAP_FP_TO_G1 · test_bls12_381 · reth
nobs 99
R² 0.8442
coef (ms) 0.007638
p-value 1.00e-03
95% CI [0.007006, 0.008363]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.844
Model: NNLS Adj. R-squared: 0.843
No. Observations: 99 RMSE: 36.92
Df Residuals: 97 MAE: 29.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 88.7032 13.7089 0.001 61.1977 113.1757
opcount 0.0076 0.0003 0.001 0.0070 0.0084
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_MAP_FP_TO_G2 · test_bls12_381 · besu
nobs 3773
R² 0.8491
coef (ms) 0.03868
p-value 1.00e-03
95% CI [0.03815, 0.03922]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.849
No. Observations: 3773 RMSE: 43.14
Df Residuals: 3771 MAE: 35.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.5203 2.5488 0.001 91.6591 101.5108
opcount 0.0387 0.0003 0.001 0.0381 0.0392
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_MAP_FP_TO_G2 · test_bls12_381 · erigon
nobs 253
R² 0.8339
coef (ms) 0.0449
p-value 1.00e-03
95% CI [0.04322, 0.04648]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.833
No. Observations: 253 RMSE: 53.02
Df Residuals: 251 MAE: 37.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.0913 8.4659 0.001 21.7940 55.3751
opcount 0.0449 0.0008 0.001 0.0432 0.0465
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_MAP_FP_TO_G2 · test_bls12_381 · ethrex
nobs 1606
R² 0.2458
coef (ms) 0.04143
p-value 1.00e-03
95% CI [0.03822, 0.04505]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.246
Model: NNLS Adj. R-squared: 0.245
No. Observations: 1606 RMSE: 192.04
Df Residuals: 1604 MAE: 167.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 111.7430 13.1348 0.001 85.2395 136.2937
opcount 0.0414 0.0017 0.001 0.0382 0.0450
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_MAP_FP_TO_G2 · test_bls12_381 · geth
nobs 4224
R² 0.8318
coef (ms) 0.03727
p-value 1.00e-03
95% CI [0.03672, 0.0378]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 4224 RMSE: 44.35
Df Residuals: 4222 MAE: 37.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.8752 2.5432 0.001 87.9758 97.9837
opcount 0.0373 0.0003 0.001 0.0367 0.0378
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_MAP_FP_TO_G2 · test_bls12_381 · nethermind
nobs 1177
R² 0.915
coef (ms) 0.03147
p-value 1.00e-03
95% CI [0.03098, 0.03197]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.915
No. Observations: 1177 RMSE: 25.38
Df Residuals: 1175 MAE: 18.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.8711 1.9921 0.001 49.0570 56.8091
opcount 0.0315 0.0002 0.001 0.0310 0.0320
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BLS12_MAP_FP_TO_G2 · test_bls12_381 · reth
nobs 99
R² 0.8436
coef (ms) 0.02441
p-value 1.00e-03
95% CI [0.02228, 0.02661]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.844
Model: NNLS Adj. R-squared: 0.842
No. Observations: 99 RMSE: 27.81
Df Residuals: 97 MAE: 23.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.1954 10.2948 0.001 42.9614 82.7949
opcount 0.0244 0.0011 0.001 0.0223 0.0266
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
