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.
Plots omitted. This is an older archived run; only the 5 most recent runs retain the runtime plots. The per-fit stats and NNLS summaries below are unchanged.
SLOAD · test_sload_bloated · combo False · besu
nobs 1309
R² 0.9138
coef (ms) 0.007498
p-value 1.00e-03
95% CI [0.007367, 0.007632]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.914
No. Observations: 1309 RMSE: 67.78
Df Residuals: 1307 MAE: 53.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 181.5119 5.3889 0.001 170.3107 192.0417
opcount 0.0075 0.0001 0.001 0.0074 0.0076
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · erigon
nobs 385
R² 0.9897
coef (ms) 0.00614
p-value 1.00e-03
95% CI [0.006072, 0.006204]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 385 RMSE: 18.45
Df Residuals: 383 MAE: 14.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.5575 2.8634 0.001 5.1524 16.2255
opcount 0.0061 0.0000 0.001 0.0061 0.0062
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · ethrex
nobs 1276
R² 0.8766
coef (ms) 0.007967
p-value 1.00e-03
95% CI [0.007897, 0.008035]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.877
No. Observations: 1276 RMSE: 117.59
Df Residuals: 1274 MAE: 101.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0080 0.0000 0.001 0.0079 0.0080
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · geth
nobs 924
R² 0.8375
coef (ms) 0.0265
p-value 1.00e-03
95% CI [0.02566, 0.02726]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.838
Model: NNLS Adj. R-squared: 0.837
No. Observations: 924 RMSE: 343.48
Df Residuals: 922 MAE: 280.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 979.2168 35.4480 0.001 915.2065 1054.5866
opcount 0.0265 0.0004 0.001 0.0257 0.0273
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · nethermind
nobs 495
R² 0.8422
coef (ms) 0.003727
p-value 1.00e-03
95% CI [0.003587, 0.00388]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.842
Model: NNLS Adj. R-squared: 0.842
No. Observations: 495 RMSE: 47.48
Df Residuals: 493 MAE: 36.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 127.2057 7.1684 0.001 112.7790 140.7046
opcount 0.0037 0.0001 0.001 0.0036 0.0039
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · reth
nobs 385
R² 0.9442
coef (ms) 0.001274
p-value 1.00e-03
95% CI [0.00124, 0.001309]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.944
Model: NNLS Adj. R-squared: 0.944
No. Observations: 385 RMSE: 9.12
Df Residuals: 383 MAE: 6.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.5005 1.7180 0.001 37.1931 43.8597
opcount 0.0013 0.0000 0.001 0.0012 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · besu
nobs 1309
R² 0.9109
coef (ms) 0.01653
p-value 1.00e-03
95% CI [0.01624, 0.01683]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.911
Model: NNLS Adj. R-squared: 0.911
No. Observations: 1309 RMSE: 152.20
Df Residuals: 1307 MAE: 124.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 475.2435 12.6688 0.001 447.7458 499.7322
opcount 0.0165 0.0001 0.001 0.0162 0.0168
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · erigon
nobs 385
R² 0.9819
coef (ms) 0.005648
p-value 1.00e-03
95% CI [0.005572, 0.005719]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 385 RMSE: 22.60
Df Residuals: 383 MAE: 18.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.8455 3.3281 0.001 14.4536 27.4064
opcount 0.0056 0.0000 0.001 0.0056 0.0057
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · ethrex
nobs 1276
R² 0.9907
coef (ms) 0.03472
p-value 1.00e-03
95% CI [0.03454, 0.03491]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 1276 RMSE: 99.06
Df Residuals: 1274 MAE: 70.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 132.0780 7.9238 0.001 115.5766 146.4569
opcount 0.0347 0.0001 0.001 0.0345 0.0349
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · geth
nobs 924
R² 0.8264
coef (ms) 0.02514
p-value 1.00e-03
95% CI [0.0244, 0.0259]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 924 RMSE: 339.12
Df Residuals: 922 MAE: 280.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1006.2228 34.5681 0.001 939.4876 1071.9356
opcount 0.0251 0.0004 0.001 0.0244 0.0259
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · nethermind
nobs 495
R² 0.6257
coef (ms) 0.02619
p-value 1.00e-03
95% CI [0.02442, 0.02814]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.626
Model: NNLS Adj. R-squared: 0.625
No. Observations: 495 RMSE: 596.20
Df Residuals: 493 MAE: 487.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1264.2502 92.5957 0.001 1069.3691 1436.4830
opcount 0.0262 0.0010 0.001 0.0244 0.0281
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · reth
nobs 385
R² 0.968
coef (ms) 0.001469
p-value 1.00e-03
95% CI [0.001441, 0.001498]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 385 RMSE: 7.86
Df Residuals: 383 MAE: 6.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.5304 1.2610 0.001 26.0491 31.0534
opcount 0.0015 0.0000 0.001 0.0014 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · besu
nobs 2618
R² 0.3295
coef (ms) 0.0001046
p-value 1.00e-03
95% CI [9.941e-05, 0.0001104]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.330
Model: NNLS Adj. R-squared: 0.329
No. Observations: 2618 RMSE: 94.21
Df Residuals: 2616 MAE: 71.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 128.6434 5.9162 0.001 116.8540 139.7946
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · erigon
nobs 770
R² 0.8719
coef (ms) 3.779e-05
p-value 1.00e-03
95% CI [3.677e-05, 3.882e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.872
Model: NNLS Adj. R-squared: 0.872
No. Observations: 770 RMSE: 9.15
Df Residuals: 768 MAE: 6.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.4282 1.0520 0.001 32.3924 36.3418
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · ethrex
nobs 2552
R² 0.8908
coef (ms) 1.936e-05
p-value 1.00e-03
95% CI [1.91e-05, 1.965e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.891
No. Observations: 2552 RMSE: 4.28
Df Residuals: 2550 MAE: 3.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.0572 0.2623 0.001 11.5384 12.5710
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · geth
nobs 1848
R² 0.8058
coef (ms) 4.281e-05
p-value 1.00e-03
95% CI [4.174e-05, 4.388e-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: 1848 RMSE: 13.27
Df Residuals: 1846 MAE: 10.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.0474 0.9425 0.001 20.1270 23.9428
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · nethermind
nobs 990
R² 0.7446
coef (ms) 0.0001596
p-value 1.00e-03
95% CI [0.000154, 0.0001654]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.745
Model: NNLS Adj. R-squared: 0.744
No. Observations: 990 RMSE: 59.05
Df Residuals: 988 MAE: 45.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 88.2308 5.5471 0.001 77.6318 99.4607
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · reth
nobs 770
R² 0.6845
coef (ms) 5.109e-06
p-value 1.00e-03
95% CI [4.864e-06, 5.35e-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: 770 RMSE: 2.19
Df Residuals: 768 MAE: 1.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.6148 0.2515 0.001 5.1318 6.1172
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · besu
nobs 1309
R² 0.8651
coef (ms) 0.00912
p-value 1.00e-03
95% CI [0.008929, 0.009333]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.865
No. Observations: 1309 RMSE: 101.76
Df Residuals: 1307 MAE: 77.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 427.8718 8.4557 0.001 410.7524 443.2652
opcount 0.0091 0.0001 0.001 0.0089 0.0093
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · erigon
nobs 385
R² 0.9877
coef (ms) 0.00604
p-value 1.00e-03
95% CI [0.005966, 0.006114]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.988
No. Observations: 385 RMSE: 19.03
Df Residuals: 383 MAE: 15.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.1046 3.0595 0.001 9.2840 21.2263
opcount 0.0060 0.0000 0.001 0.0060 0.0061
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · ethrex
nobs 1276
R² 0.8764
coef (ms) 0.007743
p-value 1.00e-03
95% CI [0.007676, 0.007807]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.876
Model: NNLS Adj. R-squared: 0.876
No. Observations: 1276 RMSE: 109.83
Df Residuals: 1274 MAE: 94.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0077 0.0000 0.001 0.0077 0.0078
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · geth
nobs 924
R² 0.8341
coef (ms) 0.0247
p-value 1.00e-03
95% CI [0.02391, 0.02551]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 924 RMSE: 311.33
Df Residuals: 922 MAE: 253.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 929.6400 31.7687 0.001 868.4708 992.2260
opcount 0.0247 0.0004 0.001 0.0239 0.0255
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · nethermind
nobs 495
R² 0.8263
coef (ms) 0.003574
p-value 1.00e-03
95% CI [0.003429, 0.003713]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 495 RMSE: 46.31
Df Residuals: 493 MAE: 36.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 132.1880 6.7411 0.001 119.5118 145.5135
opcount 0.0036 0.0001 0.001 0.0034 0.0037
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · reth
nobs 385
R² 0.9519
coef (ms) 0.001293
p-value 1.00e-03
95% CI [0.001264, 0.001321]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.952
No. Observations: 385 RMSE: 8.22
Df Residuals: 383 MAE: 6.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.9763 1.4342 0.001 40.2407 45.9493
opcount 0.0013 0.0000 0.001 0.0013 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · besu
nobs 1309
R² 0.9064
coef (ms) 0.01718
p-value 1.00e-03
95% CI [0.01686, 0.01748]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.906
Model: NNLS Adj. R-squared: 0.906
No. Observations: 1309 RMSE: 156.08
Df Residuals: 1307 MAE: 128.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 697.7484 14.9339 0.001 669.5270 728.4766
opcount 0.0172 0.0002 0.001 0.0169 0.0175
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · erigon
nobs 385
R² 0.9776
coef (ms) 0.00569
p-value 1.00e-03
95% CI [0.005608, 0.005767]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.978
No. Observations: 385 RMSE: 24.35
Df Residuals: 383 MAE: 19.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.5645 3.5182 0.001 12.8968 26.4945
opcount 0.0057 0.0000 0.001 0.0056 0.0058
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · ethrex
nobs 1276
R² 0.9901
coef (ms) 0.03422
p-value 1.00e-03
95% CI [0.03403, 0.03441]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 1276 RMSE: 96.92
Df Residuals: 1274 MAE: 71.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 191.1129 7.3935 0.001 176.0599 205.5740
opcount 0.0342 0.0001 0.001 0.0340 0.0344
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · geth
nobs 924
R² 0.8392
coef (ms) 0.02389
p-value 1.00e-03
95% CI [0.02325, 0.02458]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.839
No. Observations: 924 RMSE: 295.60
Df Residuals: 922 MAE: 240.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 922.1617 29.4658 0.001 861.6593 977.1017
opcount 0.0239 0.0003 0.001 0.0232 0.0246
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · nethermind
nobs 495
R² 0.6373
coef (ms) 0.02689
p-value 1.00e-03
95% CI [0.02491, 0.02865]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.637
Model: NNLS Adj. R-squared: 0.637
No. Observations: 495 RMSE: 573.29
Df Residuals: 493 MAE: 471.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1189.9452 87.9413 0.001 1029.7194 1378.7981
opcount 0.0269 0.0009 0.001 0.0249 0.0286
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · reth
nobs 385
R² 0.9704
coef (ms) 0.001502
p-value 1.00e-03
95% CI [0.001475, 0.001528]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.970
No. Observations: 385 RMSE: 7.42
Df Residuals: 383 MAE: 5.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.0819 1.1822 0.001 25.8472 30.5123
opcount 0.0015 0.0000 0.001 0.0015 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · besu
nobs 1309
R² 0.2164
coef (ms) 0.1555
p-value 1.00e-03
95% CI [0.1405, 0.1693]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.216
Model: NNLS Adj. R-squared: 0.216
No. Observations: 1309 RMSE: 181.68
Df Residuals: 1307 MAE: 157.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 493.9234 13.0353 0.001 468.7647 518.2745
opcount 0.1555 0.0074 0.001 0.1405 0.1693
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · erigon
nobs 385
R² 0.8919
coef (ms) 0.123
p-value 1.00e-03
95% CI [0.1184, 0.127]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.892
Model: NNLS Adj. R-squared: 0.892
No. Observations: 385 RMSE: 26.30
Df Residuals: 383 MAE: 17.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 188.9068 4.7506 0.001 179.8246 198.6234
opcount 0.1230 0.0022 0.001 0.1184 0.1270
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · ethrex
nobs 1276
R² 0.9967
coef (ms) 0.3357
p-value 1.00e-03
95% CI [0.3346, 0.3367]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 1276 RMSE: 11.78
Df Residuals: 1274 MAE: 9.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.4936 1.0501 0.001 39.5296 43.5061
opcount 0.3357 0.0005 0.001 0.3346 0.3367
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · geth
nobs 924
R² 0.6767
coef (ms) 0.1389
p-value 1.00e-03
95% CI [0.133, 0.1452]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.677
Model: NNLS Adj. R-squared: 0.676
No. Observations: 924 RMSE: 58.96
Df Residuals: 922 MAE: 42.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 106.5386 5.6871 0.001 95.8516 117.4632
opcount 0.1389 0.0031 0.001 0.1330 0.1452
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · nethermind
nobs 495
R² 0.481
coef (ms) 0.05435
p-value 1.00e-03
95% CI [0.04954, 0.05875]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.481
Model: NNLS Adj. R-squared: 0.480
No. Observations: 495 RMSE: 34.68
Df Residuals: 493 MAE: 27.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 168.3997 5.0535 0.001 159.0739 178.6490
opcount 0.0544 0.0023 0.001 0.0495 0.0587
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · reth
nobs 385
R² 0.009102
coef (ms) 0.0103
p-value 6.90e-02
95% CI [0, 0.02555]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.009
Model: NNLS Adj. R-squared: 0.007
No. Observations: 385 RMSE: 66.02
Df Residuals: 383 MAE: 49.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 300.1972 15.9784 0.001 266.2758 325.2953
opcount 0.0103 0.0068 0.069 0.0000 0.0256
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · besu
nobs 1309
R² 0.9266
coef (ms) 0.08915
p-value 1.00e-03
95% CI [0.08763, 0.09059]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.927
No. Observations: 1309 RMSE: 314.20
Df Residuals: 1307 MAE: 241.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1285.2330 28.6869 0.001 1231.6895 1343.6423
opcount 0.0892 0.0008 0.001 0.0876 0.0906
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · erigon
nobs 385
R² 0.9687
coef (ms) 0.07882
p-value 1.00e-03
95% CI [0.07738, 0.08016]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 385 RMSE: 177.28
Df Residuals: 383 MAE: 150.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1639.5286 26.7492 0.001 1586.2627 1694.1324
opcount 0.0788 0.0007 0.001 0.0774 0.0802
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · ethrex
nobs 1276
R² 0.9983
coef (ms) 0.2656
p-value 1.00e-03
95% CI [0.2649, 0.2663]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 1276 RMSE: 135.26
Df Residuals: 1274 MAE: 112.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1711.3946 13.9160 0.001 1684.8319 1741.1084
opcount 0.2656 0.0003 0.001 0.2649 0.2663
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · geth
nobs 924
R² 0.1092
coef (ms) 0.6129
p-value 1.00e-03
95% CI [0.555, 0.6766]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.109
Model: NNLS Adj. R-squared: 0.108
No. Observations: 924 RMSE: 31429.65
Df Residuals: 922 MAE: 25539.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.6129 0.0303 0.001 0.5550 0.6766
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · nethermind
nobs 495
R² 0.8507
coef (ms) 0.05839
p-value 1.00e-03
95% CI [0.05625, 0.06054]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.850
No. Observations: 495 RMSE: 306.39
Df Residuals: 493 MAE: 214.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1038.7764 38.9606 0.001 958.4077 1112.0565
opcount 0.0584 0.0011 0.001 0.0562 0.0605
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · reth
nobs 385
R² 0.9936
coef (ms) 0.1471
p-value 1.00e-03
95% CI [0.1459, 0.1482]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 385 RMSE: 148.21
Df Residuals: 383 MAE: 116.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1295.6276 22.0009 0.001 1251.0703 1339.7389
opcount 0.1471 0.0006 0.001 0.1459 0.1482
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · besu
nobs 1309
R² 0.7395
coef (ms) 0.01043
p-value 1.00e-03
95% CI [0.01003, 0.01078]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.739
Model: NNLS Adj. R-squared: 0.739
No. Observations: 1309 RMSE: 147.91
Df Residuals: 1307 MAE: 125.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 419.1427 15.1827 0.001 391.3513 451.9063
opcount 0.0104 0.0002 0.001 0.0100 0.0108
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · erigon
nobs 385
R² 0.979
coef (ms) 0.009524
p-value 1.00e-03
95% CI [0.009376, 0.009663]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.979
Model: NNLS Adj. R-squared: 0.979
No. Observations: 385 RMSE: 33.30
Df Residuals: 383 MAE: 26.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.1032 4.9528 0.001 23.4071 42.8236
opcount 0.0095 0.0001 0.001 0.0094 0.0097
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · ethrex
nobs 1276
R² 0.9738
coef (ms) 0.02424
p-value 1.00e-03
95% CI [0.02398, 0.02452]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.974
No. Observations: 1276 RMSE: 95.00
Df Residuals: 1274 MAE: 83.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 386.3556 11.3031 0.001 363.5877 407.8926
opcount 0.0242 0.0001 0.001 0.0240 0.0245
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · geth
nobs 924
R² 0.7415
coef (ms) 0.01137
p-value 1.00e-03
95% CI [0.01093, 0.01175]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.742
Model: NNLS Adj. R-squared: 0.741
No. Observations: 924 RMSE: 160.42
Df Residuals: 922 MAE: 128.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 355.2248 14.9310 0.001 327.5482 385.8251
opcount 0.0114 0.0002 0.001 0.0109 0.0118
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · nethermind
nobs 495
R² 0.9256
coef (ms) 0.003739
p-value 1.00e-03
95% CI [0.003648, 0.003834]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.925
No. Observations: 495 RMSE: 25.33
Df Residuals: 493 MAE: 18.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 88.2341 3.4567 0.001 81.1326 94.5216
opcount 0.0037 0.0000 0.001 0.0036 0.0038
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · reth
nobs 385
R² 0.9759
coef (ms) 0.001094
p-value 1.00e-03
95% CI [0.001077, 0.001112]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 385 RMSE: 4.11
Df Residuals: 383 MAE: 3.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.5585 0.7297 0.001 30.0479 32.9879
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 1309
R² 0.8047
coef (ms) 0.01045
p-value 1.00e-03
95% CI [0.01017, 0.01076]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.805
No. Observations: 1309 RMSE: 123.07
Df Residuals: 1307 MAE: 103.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 382.6974 10.8774 0.001 359.9586 403.1756
opcount 0.0105 0.0001 0.001 0.0102 0.0108
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 385
R² 0.9748
coef (ms) 0.00882
p-value 1.00e-03
95% CI [0.008668, 0.008879]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 385 RMSE: 33.89
Df Residuals: 383 MAE: 27.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.1123 3.2724 0.417 0.0000 11.2052
opcount 0.0088 0.0001 0.001 0.0087 0.0089
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 1276
R² 0.9959
coef (ms) 0.002651
p-value 1.00e-03
95% CI [0.002648, 0.002654]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 1276 RMSE: 4.14
Df Residuals: 1274 MAE: 3.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 924
R² 0.6671
coef (ms) 0.02444
p-value 1.00e-03
95% CI [0.02322, 0.0257]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.667
Model: NNLS Adj. R-squared: 0.667
No. Observations: 924 RMSE: 412.62
Df Residuals: 922 MAE: 336.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1311.6438 51.6863 0.001 1210.2874 1409.3262
opcount 0.0244 0.0006 0.001 0.0232 0.0257
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 495
R² 0.9279
coef (ms) 0.003741
p-value 1.00e-03
95% CI [0.003655, 0.003831]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.928
Model: NNLS Adj. R-squared: 0.928
No. Observations: 495 RMSE: 24.93
Df Residuals: 493 MAE: 18.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 88.6750 3.3531 0.001 82.0857 95.4463
opcount 0.0037 0.0000 0.001 0.0037 0.0038
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 385
R² 0.9713
coef (ms) 0.0009217
p-value 1.00e-03
95% CI [0.0009055, 0.0009385]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 385 RMSE: 3.79
Df Residuals: 383 MAE: 2.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.2939 0.6786 0.001 29.9914 32.6168
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · besu
nobs 1309
R² 0.8436
coef (ms) 0.02665
p-value 1.00e-03
95% CI [0.02606, 0.0272]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.844
Model: NNLS Adj. R-squared: 0.844
No. Observations: 1309 RMSE: 238.71
Df Residuals: 1307 MAE: 194.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 493.5007 18.4743 0.001 458.6316 530.3460
opcount 0.0266 0.0003 0.001 0.0261 0.0272
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · erigon
nobs 385
R² 0.9118
coef (ms) 0.03494
p-value 1.00e-03
95% CI [0.03389, 0.03595]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.912
Model: NNLS Adj. R-squared: 0.912
No. Observations: 385 RMSE: 226.06
Df Residuals: 383 MAE: 194.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 397.0701 39.8873 0.001 325.1516 478.0063
opcount 0.0349 0.0005 0.001 0.0339 0.0360
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 1276
R² 0.9719
coef (ms) 0.02488
p-value 1.00e-03
95% CI [0.02457, 0.02517]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 1276 RMSE: 88.02
Df Residuals: 1274 MAE: 75.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 371.5945 11.0629 0.001 350.4685 395.3877
opcount 0.0249 0.0001 0.001 0.0246 0.0252
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · geth
nobs 924
R² 0.6869
coef (ms) 0.02795
p-value 1.00e-03
95% CI [0.02665, 0.02929]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.687
Model: NNLS Adj. R-squared: 0.687
No. Observations: 924 RMSE: 392.64
Df Residuals: 922 MAE: 325.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1121.5786 47.6194 0.001 1030.2539 1215.6419
opcount 0.0280 0.0007 0.001 0.0267 0.0293
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 495
R² 0.7339
coef (ms) 0.02524
p-value 1.00e-03
95% CI [0.0238, 0.02668]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.734
Model: NNLS Adj. R-squared: 0.733
No. Observations: 495 RMSE: 316.27
Df Residuals: 493 MAE: 262.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 808.7354 51.2936 0.001 711.3016 909.4901
opcount 0.0252 0.0007 0.001 0.0238 0.0267
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · reth
nobs 385
R² 0.8299
coef (ms) 0.02954
p-value 1.00e-03
95% CI [0.02805, 0.03107]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.829
No. Observations: 385 RMSE: 278.26
Df Residuals: 383 MAE: 204.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 688.9974 59.4052 0.001 574.0644 803.1839
opcount 0.0295 0.0008 0.001 0.0281 0.0311
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 1309
R² 0.8047
coef (ms) 0.01045
p-value 1.00e-03
95% CI [0.01017, 0.01076]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.805
No. Observations: 1309 RMSE: 123.07
Df Residuals: 1307 MAE: 103.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 382.6974 10.8774 0.001 359.9586 403.1756
opcount 0.0105 0.0001 0.001 0.0102 0.0108
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 385
R² 0.9748
coef (ms) 0.00882
p-value 1.00e-03
95% CI [0.008668, 0.008879]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 385 RMSE: 33.89
Df Residuals: 383 MAE: 27.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.1123 3.2724 0.417 0.0000 11.2052
opcount 0.0088 0.0001 0.001 0.0087 0.0089
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 1276
R² 0.9959
coef (ms) 0.002651
p-value 1.00e-03
95% CI [0.002648, 0.002654]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 1276 RMSE: 4.14
Df Residuals: 1274 MAE: 3.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 924
R² 0.6671
coef (ms) 0.02444
p-value 1.00e-03
95% CI [0.02322, 0.0257]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.667
Model: NNLS Adj. R-squared: 0.667
No. Observations: 924 RMSE: 412.62
Df Residuals: 922 MAE: 336.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1311.6438 51.6863 0.001 1210.2874 1409.3262
opcount 0.0244 0.0006 0.001 0.0232 0.0257
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 495
R² 0.9279
coef (ms) 0.003741
p-value 1.00e-03
95% CI [0.003655, 0.003831]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.928
Model: NNLS Adj. R-squared: 0.928
No. Observations: 495 RMSE: 24.93
Df Residuals: 493 MAE: 18.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 88.6750 3.3531 0.001 82.0857 95.4463
opcount 0.0037 0.0000 0.001 0.0037 0.0038
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 385
R² 0.9713
coef (ms) 0.0009217
p-value 1.00e-03
95% CI [0.0009055, 0.0009385]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 385 RMSE: 3.79
Df Residuals: 383 MAE: 2.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.2939 0.6786 0.001 29.9914 32.6168
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · besu
nobs 1309
R² 0.652
coef (ms) 0.0001631
p-value 1.00e-03
95% CI [0.0001563, 0.0001698]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.652
Model: NNLS Adj. R-squared: 0.652
No. Observations: 1309 RMSE: 69.69
Df Residuals: 1307 MAE: 51.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 164.3143 7.0829 0.001 151.0553 178.0803
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · erigon
nobs 385
R² 0.8859
coef (ms) 4.43e-05
p-value 1.00e-03
95% CI [4.269e-05, 4.599e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.886
No. Observations: 385 RMSE: 9.30
Df Residuals: 383 MAE: 6.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.3217 1.6790 0.001 31.0782 37.8113
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · ethrex
nobs 1276
R² 0.872
coef (ms) 1.203e-05
p-value 1.00e-03
95% CI [1.177e-05, 1.228e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.872
Model: NNLS Adj. R-squared: 0.872
No. Observations: 1276 RMSE: 2.70
Df Residuals: 1274 MAE: 1.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.7942 0.2445 0.001 5.3313 6.2946
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · geth
nobs 924
R² 0.8005
coef (ms) 3.169e-05
p-value 1.00e-03
95% CI [3.06e-05, 3.282e-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: 924 RMSE: 9.25
Df Residuals: 922 MAE: 7.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.9191 1.0308 0.001 9.8487 13.9831
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · nethermind
nobs 495
R² 0.6278
coef (ms) 0.0001369
p-value 1.00e-03
95% CI [0.0001277, 0.000146]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.628
Model: NNLS Adj. R-squared: 0.627
No. Observations: 495 RMSE: 61.66
Df Residuals: 493 MAE: 50.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 87.5009 8.4001 0.001 71.1287 103.5118
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · reth
nobs 385
R² 0.7248
coef (ms) 7.132e-06
p-value 1.00e-03
95% CI [6.667e-06, 7.589e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.725
Model: NNLS Adj. R-squared: 0.724
No. Observations: 385 RMSE: 2.57
Df Residuals: 383 MAE: 1.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.5412 0.4057 0.001 4.7657 6.3379
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · besu
nobs 1309
R² 0.7318
coef (ms) 0.01186
p-value 1.00e-03
95% CI [0.01149, 0.01229]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.732
Model: NNLS Adj. R-squared: 0.732
No. Observations: 1309 RMSE: 170.55
Df Residuals: 1307 MAE: 145.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 584.2307 16.3619 0.001 550.1667 615.3130
opcount 0.0119 0.0002 0.001 0.0115 0.0123
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · erigon
nobs 385
R² 0.9837
coef (ms) 0.01079
p-value 1.00e-03
95% CI [0.01066, 0.01093]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 385 RMSE: 32.99
Df Residuals: 383 MAE: 25.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.2314 4.5450 0.001 37.1423 54.4980
opcount 0.0108 0.0001 0.001 0.0107 0.0109
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · ethrex
nobs 1276
R² 0.9718
coef (ms) 0.02444
p-value 1.00e-03
95% CI [0.0242, 0.02472]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 1276 RMSE: 98.95
Df Residuals: 1274 MAE: 86.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 393.5987 10.8613 0.001 371.1077 413.9246
opcount 0.0244 0.0001 0.001 0.0242 0.0247
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · geth
nobs 924
R² 0.7439
coef (ms) 0.01153
p-value 1.00e-03
95% CI [0.01108, 0.01196]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.744
Model: NNLS Adj. R-squared: 0.744
No. Observations: 924 RMSE: 160.61
Df Residuals: 922 MAE: 127.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 367.4440 15.1776 0.001 337.2976 397.4947
opcount 0.0115 0.0002 0.001 0.0111 0.0120
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · nethermind
nobs 495
R² 0.8844
coef (ms) 0.004265
p-value 1.00e-03
95% CI [0.004118, 0.004405]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.884
Model: NNLS Adj. R-squared: 0.884
No. Observations: 495 RMSE: 36.61
Df Residuals: 493 MAE: 26.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 91.2650 5.0926 0.001 81.3614 101.5097
opcount 0.0043 0.0001 0.001 0.0041 0.0044
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · reth
nobs 385
R² 0.9757
coef (ms) 0.001131
p-value 1.00e-03
95% CI [0.001114, 0.001149]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 385 RMSE: 4.24
Df Residuals: 383 MAE: 3.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.7122 0.7139 0.001 31.3076 34.1068
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 1309
R² 0.7638
coef (ms) 0.0128
p-value 1.00e-03
95% CI [0.01242, 0.01322]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.764
Model: NNLS Adj. R-squared: 0.764
No. Observations: 1309 RMSE: 168.96
Df Residuals: 1307 MAE: 142.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 467.4691 14.8894 0.001 436.5636 494.5893
opcount 0.0128 0.0002 0.001 0.0124 0.0132
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 385
R² 0.9766
coef (ms) 0.009818
p-value 1.00e-03
95% CI [0.009665, 0.009973]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 385 RMSE: 36.06
Df Residuals: 383 MAE: 28.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.9705 5.3234 0.005 2.1947 23.5624
opcount 0.0098 0.0001 0.001 0.0097 0.0100
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 1276
R² 0.9965
coef (ms) 0.002685
p-value 1.00e-03
95% CI [0.002676, 0.002694]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 1276 RMSE: 3.77
Df Residuals: 1274 MAE: 2.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.7612 0.3467 0.001 1.1370 2.4318
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 924
R² 0.6721
coef (ms) 0.02467
p-value 1.00e-03
95% CI [0.02339, 0.02585]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.672
Model: NNLS Adj. R-squared: 0.672
No. Observations: 924 RMSE: 409.28
Df Residuals: 922 MAE: 337.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1323.7341 50.6528 0.001 1225.7321 1422.7002
opcount 0.0247 0.0006 0.001 0.0234 0.0259
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 495
R² 0.8826
coef (ms) 0.004254
p-value 1.00e-03
95% CI [0.004125, 0.004392]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.883
Model: NNLS Adj. R-squared: 0.882
No. Observations: 495 RMSE: 36.83
Df Residuals: 493 MAE: 27.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.2001 4.7317 0.001 90.7551 109.4332
opcount 0.0043 0.0001 0.001 0.0041 0.0044
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 385
R² 0.9682
coef (ms) 0.0009782
p-value 1.00e-03
95% CI [0.0009612, 0.0009958]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 385 RMSE: 4.21
Df Residuals: 383 MAE: 3.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.7479 0.6996 0.001 30.4281 33.0930
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · besu
nobs 1309
R² 0.8787
coef (ms) 0.02935
p-value 1.00e-03
95% CI [0.02882, 0.02993]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.879
Model: NNLS Adj. R-squared: 0.879
No. Observations: 1309 RMSE: 221.93
Df Residuals: 1307 MAE: 185.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 451.4472 18.1003 0.001 416.2301 484.7498
opcount 0.0294 0.0003 0.001 0.0288 0.0299
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · erigon
nobs 385
R² 0.8774
coef (ms) 0.08625
p-value 1.00e-03
95% CI [0.08314, 0.08927]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.877
No. Observations: 385 RMSE: 656.08
Df Residuals: 383 MAE: 564.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1450.3595 121.6760 0.001 1231.9682 1701.2969
opcount 0.0862 0.0016 0.001 0.0831 0.0893
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · ethrex
nobs 1276
R² 0.9707
coef (ms) 0.02594
p-value 1.00e-03
95% CI [0.02565, 0.02624]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 1276 RMSE: 91.77
Df Residuals: 1274 MAE: 79.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 339.0758 10.6962 0.001 317.7002 359.5042
opcount 0.0259 0.0002 0.001 0.0257 0.0262
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · geth
nobs 924
R² 0.6862
coef (ms) 0.03071
p-value 1.00e-03
95% CI [0.0292, 0.03207]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.686
Model: NNLS Adj. R-squared: 0.686
No. Observations: 924 RMSE: 422.54
Df Residuals: 922 MAE: 353.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1050.9518 47.8568 0.001 963.8133 1149.0273
opcount 0.0307 0.0007 0.001 0.0292 0.0321
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · nethermind
nobs 495
R² 0.73
coef (ms) 0.02552
p-value 1.00e-03
95% CI [0.02413, 0.027]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.730
Model: NNLS Adj. R-squared: 0.729
No. Observations: 495 RMSE: 315.90
Df Residuals: 493 MAE: 262.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 892.9453 51.9018 0.001 787.4776 990.7206
opcount 0.0255 0.0007 0.001 0.0241 0.0270
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · reth
nobs 385
R² 0.8697
coef (ms) 0.03577
p-value 1.00e-03
95% CI [0.03429, 0.03743]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.869
No. Observations: 385 RMSE: 281.76
Df Residuals: 383 MAE: 172.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 174.3380 50.1554 0.001 75.4999 269.9158
opcount 0.0358 0.0008 0.001 0.0343 0.0374
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 1309
R² 0.7638
coef (ms) 0.0128
p-value 1.00e-03
95% CI [0.01242, 0.01322]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.764
Model: NNLS Adj. R-squared: 0.764
No. Observations: 1309 RMSE: 168.96
Df Residuals: 1307 MAE: 142.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 467.4691 14.8894 0.001 436.5636 494.5893
opcount 0.0128 0.0002 0.001 0.0124 0.0132
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 385
R² 0.9766
coef (ms) 0.009818
p-value 1.00e-03
95% CI [0.009665, 0.009973]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 385 RMSE: 36.06
Df Residuals: 383 MAE: 28.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.9705 5.3234 0.005 2.1947 23.5624
opcount 0.0098 0.0001 0.001 0.0097 0.0100
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 1276
R² 0.9965
coef (ms) 0.002685
p-value 1.00e-03
95% CI [0.002676, 0.002694]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 1276 RMSE: 3.77
Df Residuals: 1274 MAE: 2.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.7612 0.3467 0.001 1.1370 2.4318
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 924
R² 0.6721
coef (ms) 0.02467
p-value 1.00e-03
95% CI [0.02339, 0.02585]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.672
Model: NNLS Adj. R-squared: 0.672
No. Observations: 924 RMSE: 409.28
Df Residuals: 922 MAE: 337.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1323.7341 50.6528 0.001 1225.7321 1422.7002
opcount 0.0247 0.0006 0.001 0.0234 0.0259
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 495
R² 0.8826
coef (ms) 0.004254
p-value 1.00e-03
95% CI [0.004125, 0.004392]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.883
Model: NNLS Adj. R-squared: 0.882
No. Observations: 495 RMSE: 36.83
Df Residuals: 493 MAE: 27.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.2001 4.7317 0.001 90.7551 109.4332
opcount 0.0043 0.0001 0.001 0.0041 0.0044
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 385
R² 0.9682
coef (ms) 0.0009782
p-value 1.00e-03
95% CI [0.0009612, 0.0009958]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 385 RMSE: 4.21
Df Residuals: 383 MAE: 3.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.7479 0.6996 0.001 30.4281 33.0930
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · besu
nobs 1309
R² 0.9152
coef (ms) 0.06297
p-value 1.00e-03
95% CI [0.06174, 0.06414]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.915
No. Observations: 1309 RMSE: 128.97
Df Residuals: 1307 MAE: 105.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 481.1329 12.6272 0.001 457.3199 505.7491
opcount 0.0630 0.0006 0.001 0.0617 0.0641
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · erigon
nobs 385
R² 0.9675
coef (ms) 0.06533
p-value 1.00e-03
95% CI [0.06406, 0.06671]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.967
No. Observations: 385 RMSE: 80.54
Df Residuals: 383 MAE: 65.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 514.7561 15.0139 0.001 485.1889 543.1176
opcount 0.0653 0.0007 0.001 0.0641 0.0667
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · ethrex
nobs 1276
R² 0.9882
coef (ms) 0.03505
p-value 1.00e-03
95% CI [0.03483, 0.03526]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.988
No. Observations: 1276 RMSE: 25.74
Df Residuals: 1274 MAE: 20.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 119.3805 2.0401 0.001 115.5538 123.4210
opcount 0.0350 0.0001 0.001 0.0348 0.0353
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · geth
nobs 924
R² 0.8619
coef (ms) 0.05802
p-value 1.00e-03
95% CI [0.05658, 0.05934]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.862
Model: NNLS Adj. R-squared: 0.862
No. Observations: 924 RMSE: 156.30
Df Residuals: 922 MAE: 124.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 264.7113 14.7216 0.001 236.6182 294.1380
opcount 0.0580 0.0007 0.001 0.0566 0.0593
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · nethermind
nobs 495
R² 0.8561
coef (ms) 0.03443
p-value 1.00e-03
95% CI [0.03312, 0.03567]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.856
Model: NNLS Adj. R-squared: 0.856
No. Observations: 495 RMSE: 94.99
Df Residuals: 493 MAE: 72.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 242.2098 13.3179 0.001 217.0335 268.5697
opcount 0.0344 0.0007 0.001 0.0331 0.0357
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · reth
nobs 385
R² 0.9512
coef (ms) 0.1459
p-value 1.00e-03
95% CI [0.1421, 0.1501]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.951
Model: NNLS Adj. R-squared: 0.951
No. Observations: 385 RMSE: 222.29
Df Residuals: 383 MAE: 173.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 559.5401 50.0434 0.001 457.0460 651.2636
opcount 0.1459 0.0021 0.001 0.1421 0.1501
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · besu
nobs 1309
R² 0.1642
coef (ms) 0.09746
p-value 1.00e-03
95% CI [0.0832, 0.1118]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.164
Model: NNLS Adj. R-squared: 0.164
No. Observations: 1309 RMSE: 72.41
Df Residuals: 1307 MAE: 51.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 351.0368 7.6820 0.001 336.0850 365.9444
opcount 0.0975 0.0075 0.001 0.0832 0.1118
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · erigon
nobs 385
R² 0.856
coef (ms) 0.2718
p-value 1.00e-03
95% CI [0.2596, 0.2842]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.856
Model: NNLS Adj. R-squared: 0.856
No. Observations: 385 RMSE: 36.71
Df Residuals: 383 MAE: 24.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.9228 6.8756 0.001 49.7913 76.3779
opcount 0.2718 0.0064 0.001 0.2596 0.2842
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · ethrex
nobs 1276
R² 0.9066
coef (ms) 0.01693
p-value 1.00e-03
95% CI [0.01663, 0.01723]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.907
No. Observations: 1276 RMSE: 1.79
Df Residuals: 1274 MAE: 1.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.7121 0.1679 0.001 6.4020 7.0452
opcount 0.0169 0.0002 0.001 0.0166 0.0172
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · geth
nobs 924
R² 0.3262
coef (ms) 0.1122
p-value 1.00e-03
95% CI [0.1018, 0.1216]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.326
Model: NNLS Adj. R-squared: 0.325
No. Observations: 924 RMSE: 53.09
Df Residuals: 922 MAE: 44.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.1499 4.8781 0.001 44.0483 63.0268
opcount 0.1122 0.0051 0.001 0.1018 0.1216
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · nethermind
nobs 495
R² 0.8228
coef (ms) 0.06369
p-value 1.00e-03
95% CI [0.06096, 0.06638]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.823
Model: NNLS Adj. R-squared: 0.822
No. Observations: 495 RMSE: 9.73
Df Residuals: 493 MAE: 7.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.1674 1.2796 0.001 16.6534 21.7205
opcount 0.0637 0.0014 0.001 0.0610 0.0664
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · reth
nobs 385
R² 0.00897
coef (ms) 0.007728
p-value 7.30e-02
95% CI [0, 0.0176]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.009
Model: NNLS Adj. R-squared: 0.006
No. Observations: 385 RMSE: 26.75
Df Residuals: 383 MAE: 21.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 94.9365 5.9482 0.001 82.3488 105.2066
opcount 0.0077 0.0048 0.073 0.0000 0.0176
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · besu
nobs 1309
R² 0.9064
coef (ms) 0.09262
p-value 1.00e-03
95% CI [0.09074, 0.09442]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.906
Model: NNLS Adj. R-squared: 0.906
No. Observations: 1309 RMSE: 191.11
Df Residuals: 1307 MAE: 157.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1011.6510 18.2798 0.001 975.1305 1049.2577
opcount 0.0926 0.0009 0.001 0.0907 0.0944
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · erigon
nobs 385
R² 0.9683
coef (ms) 0.2582
p-value 1.00e-03
95% CI [0.2529, 0.2633]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 385 RMSE: 300.21
Df Residuals: 383 MAE: 212.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3067.8914 46.7165 0.001 2980.2018 3163.7050
opcount 0.2582 0.0025 0.001 0.2529 0.2633
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · ethrex
nobs 1276
R² 0.9879
coef (ms) 0.03674
p-value 1.00e-03
95% CI [0.03652, 0.03699]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.988
No. Observations: 1276 RMSE: 26.08
Df Residuals: 1274 MAE: 20.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 106.3023 2.2382 0.001 101.9687 110.4417
opcount 0.0367 0.0001 0.001 0.0365 0.0370
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · geth
nobs 924
R² 0.9125
coef (ms) 0.09552
p-value 1.00e-03
95% CI [0.09376, 0.09744]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.913
Model: NNLS Adj. R-squared: 0.912
No. Observations: 924 RMSE: 189.96
Df Residuals: 922 MAE: 147.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 569.9480 17.8024 0.001 534.3950 603.3680
opcount 0.0955 0.0009 0.001 0.0938 0.0974
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · nethermind
nobs 495
R² 0.8959
coef (ms) 0.06023
p-value 1.00e-03
95% CI [0.05838, 0.06208]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.896
No. Observations: 495 RMSE: 131.89
Df Residuals: 493 MAE: 93.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 248.5904 17.0858 0.001 215.4496 284.0454
opcount 0.0602 0.0009 0.001 0.0584 0.0621
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · reth
nobs 385
R² 0.9723
coef (ms) 0.1515
p-value 1.00e-03
95% CI [0.1487, 0.1546]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 385 RMSE: 164.31
Df Residuals: 383 MAE: 130.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 986.0372 37.1140 0.001 910.6976 1053.7821
opcount 0.1515 0.0016 0.001 0.1487 0.1546
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · besu
nobs 1309
R² 0.1642
coef (ms) 0.09746
p-value 1.00e-03
95% CI [0.0832, 0.1118]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.164
Model: NNLS Adj. R-squared: 0.164
No. Observations: 1309 RMSE: 72.41
Df Residuals: 1307 MAE: 51.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 351.0368 7.6820 0.001 336.0850 365.9444
opcount 0.0975 0.0075 0.001 0.0832 0.1118
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · erigon
nobs 385
R² 0.856
coef (ms) 0.2718
p-value 1.00e-03
95% CI [0.2596, 0.2842]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.856
Model: NNLS Adj. R-squared: 0.856
No. Observations: 385 RMSE: 36.71
Df Residuals: 383 MAE: 24.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.9228 6.8756 0.001 49.7913 76.3779
opcount 0.2718 0.0064 0.001 0.2596 0.2842
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · ethrex
nobs 1276
R² 0.9066
coef (ms) 0.01693
p-value 1.00e-03
95% CI [0.01663, 0.01723]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.907
No. Observations: 1276 RMSE: 1.79
Df Residuals: 1274 MAE: 1.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.7121 0.1679 0.001 6.4020 7.0452
opcount 0.0169 0.0002 0.001 0.0166 0.0172
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · geth
nobs 924
R² 0.3262
coef (ms) 0.1122
p-value 1.00e-03
95% CI [0.1018, 0.1216]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.326
Model: NNLS Adj. R-squared: 0.325
No. Observations: 924 RMSE: 53.09
Df Residuals: 922 MAE: 44.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.1499 4.8781 0.001 44.0483 63.0268
opcount 0.1122 0.0051 0.001 0.1018 0.1216
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · nethermind
nobs 495
R² 0.8228
coef (ms) 0.06369
p-value 1.00e-03
95% CI [0.06096, 0.06638]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.823
Model: NNLS Adj. R-squared: 0.822
No. Observations: 495 RMSE: 9.73
Df Residuals: 493 MAE: 7.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.1674 1.2796 0.001 16.6534 21.7205
opcount 0.0637 0.0014 0.001 0.0610 0.0664
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · reth
nobs 385
R² 0.00897
coef (ms) 0.007728
p-value 7.30e-02
95% CI [0, 0.0176]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.009
Model: NNLS Adj. R-squared: 0.006
No. Observations: 385 RMSE: 26.75
Df Residuals: 383 MAE: 21.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 94.9365 5.9482 0.001 82.3488 105.2066
opcount 0.0077 0.0048 0.073 0.0000 0.0176
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · besu
nobs 1309
R² 0.7137
coef (ms) 0.0005321
p-value 1.00e-03
95% CI [0.0005145, 0.0005522]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.714
Model: NNLS Adj. R-squared: 0.714
No. Observations: 1309 RMSE: 170.25
Df Residuals: 1307 MAE: 130.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 701.9851 14.3235 0.001 672.6666 728.2922
opcount 0.0005 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · erigon
nobs 385
R² 0.9618
coef (ms) 0.0004792
p-value 1.00e-03
95% CI [0.0004691, 0.0004886]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 385 RMSE: 48.27
Df Residuals: 383 MAE: 36.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 61.3608 8.2288 0.001 45.7279 78.7715
opcount 0.0005 0.0000 0.001 0.0005 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · ethrex
nobs 1276
R² 0.8867
coef (ms) 7.653e-05
p-value 1.00e-03
95% CI [7.487e-05, 7.812e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.887
Model: NNLS Adj. R-squared: 0.887
No. Observations: 1276 RMSE: 13.82
Df Residuals: 1274 MAE: 10.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.8765 1.2391 0.001 33.5363 38.3046
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · geth
nobs 924
R² 0.8476
coef (ms) 0.0001315
p-value 1.00e-03
95% CI [0.0001279, 0.0001351]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.847
No. Observations: 924 RMSE: 28.17
Df Residuals: 922 MAE: 22.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.6999 2.7853 0.001 39.9861 51.0087
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · nethermind
nobs 495
R² 0.3082
coef (ms) 0.0003968
p-value 1.00e-03
95% CI [0.0003438, 0.0004525]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.308
Model: NNLS Adj. R-squared: 0.307
No. Observations: 495 RMSE: 300.36
Df Residuals: 493 MAE: 210.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 193.6208 39.1130 0.001 116.3820 268.4463
opcount 0.0004 0.0000 0.001 0.0003 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · reth
nobs 385
R² 0.8968
coef (ms) 5.016e-05
p-value 1.00e-03
95% CI [4.82e-05, 5.2e-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: 385 RMSE: 8.60
Df Residuals: 383 MAE: 7.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.5374 1.6002 0.001 14.5622 20.7968
opcount 0.0001 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · besu
nobs 1309
R² 0.7312
coef (ms) 0.01148
p-value 1.00e-03
95% CI [0.0111, 0.01188]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.731
Model: NNLS Adj. R-squared: 0.731
No. Observations: 1309 RMSE: 165.35
Df Residuals: 1307 MAE: 140.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 557.3539 15.0553 0.001 527.8393 586.5225
opcount 0.0115 0.0002 0.001 0.0111 0.0119
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · erigon
nobs 385
R² 0.9824
coef (ms) 0.009942
p-value 1.00e-03
95% CI [0.0098, 0.01008]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 385 RMSE: 31.62
Df Residuals: 383 MAE: 25.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.8726 4.6203 0.001 23.2619 41.2258
opcount 0.0099 0.0001 0.001 0.0098 0.0101
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · ethrex
nobs 1276
R² 0.9737
coef (ms) 0.02427
p-value 1.00e-03
95% CI [0.02401, 0.02454]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.974
No. Observations: 1276 RMSE: 94.75
Df Residuals: 1274 MAE: 83.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 401.9386 10.9215 0.001 380.1820 423.1661
opcount 0.0243 0.0001 0.001 0.0240 0.0245
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · geth
nobs 924
R² 0.7563
coef (ms) 0.01182
p-value 1.00e-03
95% CI [0.0114, 0.01224]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.756
Model: NNLS Adj. R-squared: 0.756
No. Observations: 924 RMSE: 159.38
Df Residuals: 922 MAE: 125.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 354.5439 15.1504 0.001 324.9459 383.6189
opcount 0.0118 0.0002 0.001 0.0114 0.0122
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · nethermind
nobs 495
R² 0.8587
coef (ms) 0.004081
p-value 1.00e-03
95% CI [0.003921, 0.004234]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.858
No. Observations: 495 RMSE: 39.31
Df Residuals: 493 MAE: 27.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.8148 5.4179 0.001 79.2847 100.6015
opcount 0.0041 0.0001 0.001 0.0039 0.0042
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · reth
nobs 385
R² 0.9745
coef (ms) 0.001125
p-value 1.00e-03
95% CI [0.001105, 0.001144]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.974
No. Observations: 385 RMSE: 4.32
Df Residuals: 383 MAE: 3.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.9970 0.8024 0.001 30.4408 33.6327
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 1309
R² 0.7459
coef (ms) 0.01156
p-value 1.00e-03
95% CI [0.01118, 0.01197]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.746
Model: NNLS Adj. R-squared: 0.746
No. Observations: 1309 RMSE: 160.27
Df Residuals: 1307 MAE: 134.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 472.1190 13.7242 0.001 444.4571 499.0164
opcount 0.0116 0.0002 0.001 0.0112 0.0120
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 385
R² 0.973
coef (ms) 0.009254
p-value 1.00e-03
95% CI [0.009086, 0.009414]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 385 RMSE: 36.63
Df Residuals: 383 MAE: 28.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.7113 5.2080 0.004 5.5190 25.9648
opcount 0.0093 0.0001 0.001 0.0091 0.0094
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 1276
R² 0.996
coef (ms) 0.002684
p-value 1.00e-03
95% CI [0.002673, 0.002694]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 1276 RMSE: 4.03
Df Residuals: 1274 MAE: 3.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.0225 0.3642 0.001 1.3187 2.7618
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 924
R² 0.6738
coef (ms) 0.02545
p-value 1.00e-03
95% CI [0.02422, 0.02676]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.674
Model: NNLS Adj. R-squared: 0.673
No. Observations: 924 RMSE: 420.51
Df Residuals: 922 MAE: 348.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1306.9415 50.3879 0.001 1208.1894 1404.3430
opcount 0.0255 0.0006 0.001 0.0242 0.0268
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 495
R² 0.8592
coef (ms) 0.004009
p-value 1.00e-03
95% CI [0.003857, 0.004147]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.859
No. Observations: 495 RMSE: 38.53
Df Residuals: 493 MAE: 28.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 97.1142 5.2836 0.001 87.0971 108.4978
opcount 0.0040 0.0001 0.001 0.0039 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 385
R² 0.9747
coef (ms) 0.0009639
p-value 1.00e-03
95% CI [0.0009475, 0.000981]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 385 RMSE: 3.69
Df Residuals: 383 MAE: 2.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.4611 0.6373 0.001 30.2214 32.7519
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · besu
nobs 1309
R² 0.8679
coef (ms) 0.02786
p-value 1.00e-03
95% CI [0.02729, 0.0284]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 1309 RMSE: 221.25
Df Residuals: 1307 MAE: 184.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 534.9320 18.3000 0.001 499.2809 571.6678
opcount 0.0279 0.0003 0.001 0.0273 0.0284
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · erigon
nobs 385
R² 0.8758
coef (ms) 0.08606
p-value 1.00e-03
95% CI [0.08299, 0.08915]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.876
Model: NNLS Adj. R-squared: 0.875
No. Observations: 385 RMSE: 659.52
Df Residuals: 383 MAE: 568.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1432.4973 119.4692 0.001 1200.4364 1670.8613
opcount 0.0861 0.0016 0.001 0.0830 0.0891
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · ethrex
nobs 1276
R² 0.9733
coef (ms) 0.02596
p-value 1.00e-03
95% CI [0.02567, 0.02626]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 1276 RMSE: 87.51
Df Residuals: 1274 MAE: 75.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 335.3627 10.8275 0.001 314.0843 356.8191
opcount 0.0260 0.0002 0.001 0.0257 0.0263
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · geth
nobs 924
R² 0.6684
coef (ms) 0.02774
p-value 1.00e-03
95% CI [0.02631, 0.02903]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.668
Model: NNLS Adj. R-squared: 0.668
No. Observations: 924 RMSE: 397.53
Df Residuals: 922 MAE: 330.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1166.6874 48.4822 0.001 1080.2236 1271.7687
opcount 0.0277 0.0007 0.001 0.0263 0.0290
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · nethermind
nobs 495
R² 0.7147
coef (ms) 0.02519
p-value 1.00e-03
95% CI [0.02367, 0.02673]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.715
Model: NNLS Adj. R-squared: 0.714
No. Observations: 495 RMSE: 323.88
Df Residuals: 493 MAE: 270.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 933.8353 52.4948 0.001 824.3992 1036.1637
opcount 0.0252 0.0008 0.001 0.0237 0.0267
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · reth
nobs 385
R² 0.8434
coef (ms) 0.02883
p-value 1.00e-03
95% CI [0.02739, 0.03016]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.843
No. Observations: 385 RMSE: 252.76
Df Residuals: 383 MAE: 183.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 662.3625 55.9562 0.001 560.4832 771.2269
opcount 0.0288 0.0007 0.001 0.0274 0.0302
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 1309
R² 0.7459
coef (ms) 0.01156
p-value 1.00e-03
95% CI [0.01118, 0.01197]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.746
Model: NNLS Adj. R-squared: 0.746
No. Observations: 1309 RMSE: 160.27
Df Residuals: 1307 MAE: 134.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 472.1190 13.7242 0.001 444.4571 499.0164
opcount 0.0116 0.0002 0.001 0.0112 0.0120
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 385
R² 0.973
coef (ms) 0.009254
p-value 1.00e-03
95% CI [0.009086, 0.009414]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 385 RMSE: 36.63
Df Residuals: 383 MAE: 28.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.7113 5.2080 0.004 5.5190 25.9648
opcount 0.0093 0.0001 0.001 0.0091 0.0094
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 1276
R² 0.996
coef (ms) 0.002684
p-value 1.00e-03
95% CI [0.002673, 0.002694]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 1276 RMSE: 4.03
Df Residuals: 1274 MAE: 3.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.0225 0.3642 0.001 1.3187 2.7618
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 924
R² 0.6738
coef (ms) 0.02545
p-value 1.00e-03
95% CI [0.02422, 0.02676]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.674
Model: NNLS Adj. R-squared: 0.673
No. Observations: 924 RMSE: 420.51
Df Residuals: 922 MAE: 348.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1306.9415 50.3879 0.001 1208.1894 1404.3430
opcount 0.0255 0.0006 0.001 0.0242 0.0268
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 495
R² 0.8592
coef (ms) 0.004009
p-value 1.00e-03
95% CI [0.003857, 0.004147]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.859
No. Observations: 495 RMSE: 38.53
Df Residuals: 493 MAE: 28.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 97.1142 5.2836 0.001 87.0971 108.4978
opcount 0.0040 0.0001 0.001 0.0039 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 385
R² 0.9747
coef (ms) 0.0009639
p-value 1.00e-03
95% CI [0.0009475, 0.000981]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 385 RMSE: 3.69
Df Residuals: 383 MAE: 2.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.4611 0.6373 0.001 30.2214 32.7519
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · besu
nobs 1309
R² 0.7033
coef (ms) 0.01271
p-value 1.00e-03
95% CI [0.01225, 0.01315]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.703
Model: NNLS Adj. R-squared: 0.703
No. Observations: 1309 RMSE: 55.56
Df Residuals: 1307 MAE: 43.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 253.3695 4.5653 0.001 244.8021 262.2272
opcount 0.0127 0.0002 0.001 0.0123 0.0131
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · erigon
nobs 385
R² 0.9698
coef (ms) 0.007756
p-value 1.00e-03
95% CI [0.007607, 0.007905]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.970
No. Observations: 385 RMSE: 9.21
Df Residuals: 383 MAE: 7.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.5154 1.4813 0.001 34.6318 40.5595
opcount 0.0078 0.0001 0.001 0.0076 0.0079
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · ethrex
nobs 1276
R² 0.9901
coef (ms) 0.02409
p-value 1.00e-03
95% CI [0.02393, 0.02424]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 1276 RMSE: 16.19
Df Residuals: 1274 MAE: 13.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.0541 1.8990 0.001 72.3855 79.7789
opcount 0.0241 0.0001 0.001 0.0239 0.0242
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · geth
nobs 924
R² 0.3281
coef (ms) 0.01113
p-value 1.00e-03
95% CI [0.01022, 0.01205]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.328
Model: NNLS Adj. R-squared: 0.327
No. Observations: 924 RMSE: 107.14
Df Residuals: 922 MAE: 91.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 185.6472 9.5166 0.001 166.3484 202.8730
opcount 0.0111 0.0005 0.001 0.0102 0.0121
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · nethermind
nobs 495
R² 0.7646
coef (ms) 0.004356
p-value 1.00e-03
95% CI [0.004138, 0.004593]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.765
Model: NNLS Adj. R-squared: 0.764
No. Observations: 495 RMSE: 16.26
Df Residuals: 493 MAE: 12.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.3713 2.3311 0.001 54.7241 63.9389
opcount 0.0044 0.0001 0.001 0.0041 0.0046
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · reth
nobs 385
R² 0.9331
coef (ms) 0.001204
p-value 1.00e-03
95% CI [0.001172, 0.001236]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.933
No. Observations: 385 RMSE: 2.17
Df Residuals: 383 MAE: 1.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.8704 0.3551 0.001 9.1862 10.5831
opcount 0.0012 0.0000 0.001 0.0012 0.0012
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · besu
nobs 1309
R² 0.1383
coef (ms) 0.00273
p-value 1.00e-03
95% CI [0.002327, 0.003152]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.138
Model: NNLS Adj. R-squared: 0.138
No. Observations: 1309 RMSE: 45.87
Df Residuals: 1307 MAE: 36.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 290.9028 4.4027 0.001 282.0466 299.4015
opcount 0.0027 0.0002 0.001 0.0023 0.0032
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · erigon
nobs 385
R² 0.8692
coef (ms) 0.001745
p-value 1.00e-03
95% CI [0.001678, 0.00181]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 385 RMSE: 4.56
Df Residuals: 383 MAE: 3.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.7736 0.7383 0.001 48.3929 51.2473
opcount 0.0017 0.0000 0.001 0.0017 0.0018
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · ethrex
nobs 1276
R² 0.748
coef (ms) 0.0003188
p-value 1.00e-03
95% CI [0.0003085, 0.0003289]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.748
Model: NNLS Adj. R-squared: 0.748
No. Observations: 1276 RMSE: 1.25
Df Residuals: 1274 MAE: 0.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.1003 0.1133 0.001 8.8771 9.3184
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · geth
nobs 924
R² 0.03288
coef (ms) 0.009354
p-value 1.00e-03
95% CI [0.006047, 0.01261]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.033
Model: NNLS Adj. R-squared: 0.032
No. Observations: 924 RMSE: 341.48
Df Residuals: 922 MAE: 319.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 375.1342 34.8880 0.001 306.1100 443.7781
opcount 0.0094 0.0017 0.001 0.0060 0.0126
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · nethermind
nobs 495
R² 0.4898
coef (ms) 0.001634
p-value 1.00e-03
95% CI [0.001487, 0.001792]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.490
Model: NNLS Adj. R-squared: 0.489
No. Observations: 495 RMSE: 11.22
Df Residuals: 493 MAE: 8.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.4232 1.4939 0.001 43.5284 49.1704
opcount 0.0016 0.0001 0.001 0.0015 0.0018
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · reth
nobs 385
R² 0.7824
coef (ms) 0.0002313
p-value 1.00e-03
95% CI [0.0002191, 0.0002427]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.782
Model: NNLS Adj. R-squared: 0.782
No. Observations: 385 RMSE: 0.82
Df Residuals: 383 MAE: 0.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.4138 0.1305 0.001 6.1714 6.6713
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · besu
nobs 1309
R² 0.5586
coef (ms) 0.02605
p-value 1.00e-03
95% CI [0.02466, 0.02739]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.559
Model: NNLS Adj. R-squared: 0.558
No. Observations: 1309 RMSE: 148.77
Df Residuals: 1307 MAE: 118.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 229.5992 12.2471 0.001 206.1157 253.8806
opcount 0.0261 0.0007 0.001 0.0247 0.0274
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · erigon
nobs 385
R² 0.9125
coef (ms) 0.08343
p-value 1.00e-03
95% CI [0.08094, 0.08575]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.912
Model: NNLS Adj. R-squared: 0.912
No. Observations: 385 RMSE: 165.95
Df Residuals: 383 MAE: 138.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 499.2945 28.6663 0.001 446.6319 557.0655
opcount 0.0834 0.0012 0.001 0.0809 0.0857
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · ethrex
nobs 1276
R² 0.9879
coef (ms) 0.0244
p-value 1.00e-03
95% CI [0.02419, 0.02458]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.988
No. Observations: 1276 RMSE: 17.36
Df Residuals: 1274 MAE: 14.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 85.3157 2.1997 0.001 81.3638 89.8701
opcount 0.0244 0.0001 0.001 0.0242 0.0246
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · geth
nobs 924
R² 0.6653
coef (ms) 0.03475
p-value 1.00e-03
95% CI [0.03317, 0.03628]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.665
Model: NNLS Adj. R-squared: 0.665
No. Observations: 924 RMSE: 158.32
Df Residuals: 922 MAE: 132.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 312.5975 16.0575 0.001 282.1813 343.4286
opcount 0.0348 0.0008 0.001 0.0332 0.0363
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · nethermind
nobs 495
R² 0.811
coef (ms) 0.02897
p-value 1.00e-03
95% CI [0.02773, 0.03026]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.811
No. Observations: 495 RMSE: 89.82
Df Residuals: 493 MAE: 67.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 260.5209 13.6212 0.001 234.2269 288.0980
opcount 0.0290 0.0006 0.001 0.0277 0.0303
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · reth
nobs 385
R² 0.4356
coef (ms) 0.01353
p-value 1.00e-03
95% CI [0.01137, 0.01551]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.436
Model: NNLS Adj. R-squared: 0.434
No. Observations: 385 RMSE: 98.87
Df Residuals: 383 MAE: 75.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 165.4968 24.6310 0.001 120.5189 215.0889
opcount 0.0135 0.0011 0.001 0.0114 0.0155
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · besu
nobs 1309
R² 0.1383
coef (ms) 0.00273
p-value 1.00e-03
95% CI [0.002327, 0.003152]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.138
Model: NNLS Adj. R-squared: 0.138
No. Observations: 1309 RMSE: 45.87
Df Residuals: 1307 MAE: 36.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 290.9028 4.4027 0.001 282.0466 299.4015
opcount 0.0027 0.0002 0.001 0.0023 0.0032
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · erigon
nobs 385
R² 0.8692
coef (ms) 0.001745
p-value 1.00e-03
95% CI [0.001678, 0.00181]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 385 RMSE: 4.56
Df Residuals: 383 MAE: 3.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.7736 0.7383 0.001 48.3929 51.2473
opcount 0.0017 0.0000 0.001 0.0017 0.0018
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · ethrex
nobs 1276
R² 0.748
coef (ms) 0.0003188
p-value 1.00e-03
95% CI [0.0003085, 0.0003289]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.748
Model: NNLS Adj. R-squared: 0.748
No. Observations: 1276 RMSE: 1.25
Df Residuals: 1274 MAE: 0.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.1003 0.1133 0.001 8.8771 9.3184
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · geth
nobs 924
R² 0.03288
coef (ms) 0.009354
p-value 1.00e-03
95% CI [0.006047, 0.01261]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.033
Model: NNLS Adj. R-squared: 0.032
No. Observations: 924 RMSE: 341.48
Df Residuals: 922 MAE: 319.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 375.1342 34.8880 0.001 306.1100 443.7781
opcount 0.0094 0.0017 0.001 0.0060 0.0126
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · nethermind
nobs 495
R² 0.4898
coef (ms) 0.001634
p-value 1.00e-03
95% CI [0.001487, 0.001792]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.490
Model: NNLS Adj. R-squared: 0.489
No. Observations: 495 RMSE: 11.22
Df Residuals: 493 MAE: 8.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.4232 1.4939 0.001 43.5284 49.1704
opcount 0.0016 0.0001 0.001 0.0015 0.0018
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · reth
nobs 385
R² 0.7824
coef (ms) 0.0002313
p-value 1.00e-03
95% CI [0.0002191, 0.0002427]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.782
Model: NNLS Adj. R-squared: 0.782
No. Observations: 385 RMSE: 0.82
Df Residuals: 383 MAE: 0.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.4138 0.1305 0.001 6.1714 6.6713
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · besu
nobs 1309
R² 0.7399
coef (ms) 0.0005427
p-value 1.00e-03
95% CI [0.000524, 0.0005609]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.740
Model: NNLS Adj. R-squared: 0.740
No. Observations: 1309 RMSE: 162.54
Df Residuals: 1307 MAE: 123.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 699.2000 14.5721 0.001 671.2256 727.9643
opcount 0.0005 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · erigon
nobs 385
R² 0.9564
coef (ms) 0.000265
p-value 1.00e-03
95% CI [0.0002595, 0.0002701]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.956
Model: NNLS Adj. R-squared: 0.956
No. Observations: 385 RMSE: 28.57
Df Residuals: 383 MAE: 22.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.8863 4.6238 0.001 36.5289 54.2089
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · ethrex
nobs 1276
R² 0.8359
coef (ms) 7.012e-05
p-value 1.00e-03
95% CI [6.82e-05, 7.192e-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: 1276 RMSE: 15.70
Df Residuals: 1274 MAE: 12.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.9061 1.4735 0.001 35.1148 40.6783
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · geth
nobs 924
R² 0.8754
coef (ms) 0.0001804
p-value 1.00e-03
95% CI [0.0001759, 0.0001849]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.875
Model: NNLS Adj. R-squared: 0.875
No. Observations: 924 RMSE: 34.39
Df Residuals: 922 MAE: 26.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.5405 3.4230 0.001 40.6847 54.2546
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · nethermind
nobs 495
R² 0.1442
coef (ms) 0.0002902
p-value 1.00e-03
95% CI [0.0002271, 0.0003493]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.144
Model: NNLS Adj. R-squared: 0.142
No. Observations: 495 RMSE: 357.16
Df Residuals: 493 MAE: 234.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 162.7597 46.3635 0.001 73.1417 253.1773
opcount 0.0003 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · reth
nobs 385
R² 0.9149
coef (ms) 4.745e-05
p-value 1.00e-03
95% CI [4.589e-05, 4.893e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.915
No. Observations: 385 RMSE: 7.31
Df Residuals: 383 MAE: 6.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.6782 1.2930 0.001 15.2747 20.1805
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · besu
nobs 1309
R² 0.7368
coef (ms) 0.01147
p-value 1.00e-03
95% CI [0.01107, 0.01188]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.737
Model: NNLS Adj. R-squared: 0.737
No. Observations: 1309 RMSE: 162.96
Df Residuals: 1307 MAE: 137.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 546.2025 15.0764 0.001 515.5135 575.8387
opcount 0.0115 0.0002 0.001 0.0111 0.0119
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · erigon
nobs 385
R² 0.9821
coef (ms) 0.009785
p-value 1.00e-03
95% CI [0.009653, 0.009924]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 385 RMSE: 31.42
Df Residuals: 383 MAE: 24.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.0965 4.5022 0.001 33.9865 51.8409
opcount 0.0098 0.0001 0.001 0.0097 0.0099
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · ethrex
nobs 1276
R² 0.9742
coef (ms) 0.02457
p-value 1.00e-03
95% CI [0.02433, 0.02483]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.974
No. Observations: 1276 RMSE: 95.00
Df Residuals: 1274 MAE: 83.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 381.8418 10.5821 0.001 360.0265 401.6717
opcount 0.0246 0.0001 0.001 0.0243 0.0248
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · geth
nobs 924
R² 0.7572
coef (ms) 0.01162
p-value 1.00e-03
95% CI [0.01122, 0.01205]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.757
Model: NNLS Adj. R-squared: 0.757
No. Observations: 924 RMSE: 156.45
Df Residuals: 922 MAE: 123.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 362.5714 14.4883 0.001 331.4356 389.8346
opcount 0.0116 0.0002 0.001 0.0112 0.0121
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · nethermind
nobs 495
R² 0.8708
coef (ms) 0.004207
p-value 1.00e-03
95% CI [0.004074, 0.00435]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 495 RMSE: 38.52
Df Residuals: 493 MAE: 26.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 93.5353 5.0352 0.001 84.2576 103.0399
opcount 0.0042 0.0001 0.001 0.0041 0.0044
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · reth
nobs 385
R² 0.9753
coef (ms) 0.001139
p-value 1.00e-03
95% CI [0.001121, 0.001158]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 385 RMSE: 4.31
Df Residuals: 383 MAE: 3.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.7814 0.7916 0.001 29.2547 32.4180
opcount 0.0011 0.0000 0.001 0.0011 0.0012
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 1309
R² 0.7599
coef (ms) 0.0116
p-value 1.00e-03
95% CI [0.01128, 0.01197]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.760
Model: NNLS Adj. R-squared: 0.760
No. Observations: 1309 RMSE: 155.03
Df Residuals: 1307 MAE: 127.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 468.1673 12.8029 0.001 442.4996 491.9188
opcount 0.0116 0.0002 0.001 0.0113 0.0120
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 385
R² 0.9774
coef (ms) 0.009228
p-value 1.00e-03
95% CI [0.009085, 0.009374]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 385 RMSE: 33.39
Df Residuals: 383 MAE: 26.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.4287 4.8811 0.001 6.8214 25.8445
opcount 0.0092 0.0001 0.001 0.0091 0.0094
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 1276
R² 0.9961
coef (ms) 0.002711
p-value 1.00e-03
95% CI [0.002705, 0.002714]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 1276 RMSE: 4.03
Df Residuals: 1274 MAE: 3.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.1143 1.000 0.0000 0.4248
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 924
R² 0.6751
coef (ms) 0.02505
p-value 1.00e-03
95% CI [0.02377, 0.02625]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.675
Model: NNLS Adj. R-squared: 0.675
No. Observations: 924 RMSE: 413.05
Df Residuals: 922 MAE: 337.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1319.7540 50.3969 0.001 1220.5770 1420.6075
opcount 0.0250 0.0006 0.001 0.0238 0.0262
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 495
R² 0.8773
coef (ms) 0.004159
p-value 1.00e-03
95% CI [0.004021, 0.004305]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.877
No. Observations: 495 RMSE: 36.97
Df Residuals: 493 MAE: 27.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.0209 5.0988 0.001 89.5399 110.0219
opcount 0.0042 0.0001 0.001 0.0040 0.0043
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 385
R² 0.9718
coef (ms) 0.0009586
p-value 1.00e-03
95% CI [0.0009412, 0.0009761]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 385 RMSE: 3.88
Df Residuals: 383 MAE: 3.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.6685 0.7186 0.001 30.1811 33.1737
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · besu
nobs 1309
R² 0.8673
coef (ms) 0.02936
p-value 1.00e-03
95% CI [0.02877, 0.02996]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.867
No. Observations: 1309 RMSE: 233.99
Df Residuals: 1307 MAE: 190.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 397.9038 18.5807 0.001 362.7444 435.4647
opcount 0.0294 0.0003 0.001 0.0288 0.0300
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 385
R² 0.8779
coef (ms) 0.0862
p-value 1.00e-03
95% CI [0.08279, 0.08934]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.878
No. Observations: 385 RMSE: 654.86
Df Residuals: 383 MAE: 564.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1417.9871 122.3013 0.001 1184.1975 1679.4517
opcount 0.0862 0.0016 0.001 0.0828 0.0893
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 1276
R² 0.9715
coef (ms) 0.02592
p-value 1.00e-03
95% CI [0.02565, 0.02621]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 1276 RMSE: 90.50
Df Residuals: 1274 MAE: 79.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 336.7562 10.6157 0.001 315.3956 357.0134
opcount 0.0259 0.0001 0.001 0.0256 0.0262
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · geth
nobs 924
R² 0.6791
coef (ms) 0.02816
p-value 1.00e-03
95% CI [0.02676, 0.02951]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.679
Model: NNLS Adj. R-squared: 0.679
No. Observations: 924 RMSE: 394.26
Df Residuals: 922 MAE: 327.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1134.5252 47.1074 0.001 1045.2706 1228.2181
opcount 0.0282 0.0007 0.001 0.0268 0.0295
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 495
R² 0.7271
coef (ms) 0.02562
p-value 1.00e-03
95% CI [0.0242, 0.02708]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.727
Model: NNLS Adj. R-squared: 0.727
No. Observations: 495 RMSE: 319.73
Df Residuals: 493 MAE: 265.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 899.6157 51.5743 0.001 801.9520 999.1061
opcount 0.0256 0.0007 0.001 0.0242 0.0271
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · reth
nobs 385
R² 0.8908
coef (ms) 0.03745
p-value 1.00e-03
95% CI [0.03705, 0.03792]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.891
No. Observations: 385 RMSE: 275.85
Df Residuals: 383 MAE: 147.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.4230 1.000 0.0000 0.0000
opcount 0.0374 0.0002 0.001 0.0370 0.0379
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 1309
R² 0.7599
coef (ms) 0.0116
p-value 1.00e-03
95% CI [0.01128, 0.01197]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.760
Model: NNLS Adj. R-squared: 0.760
No. Observations: 1309 RMSE: 155.03
Df Residuals: 1307 MAE: 127.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 468.1673 12.8029 0.001 442.4996 491.9188
opcount 0.0116 0.0002 0.001 0.0113 0.0120
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 385
R² 0.9774
coef (ms) 0.009228
p-value 1.00e-03
95% CI [0.009085, 0.009374]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 385 RMSE: 33.39
Df Residuals: 383 MAE: 26.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.4287 4.8811 0.001 6.8214 25.8445
opcount 0.0092 0.0001 0.001 0.0091 0.0094
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 1276
R² 0.9961
coef (ms) 0.002711
p-value 1.00e-03
95% CI [0.002705, 0.002714]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 1276 RMSE: 4.03
Df Residuals: 1274 MAE: 3.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.1143 1.000 0.0000 0.4248
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 924
R² 0.6751
coef (ms) 0.02505
p-value 1.00e-03
95% CI [0.02377, 0.02625]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.675
Model: NNLS Adj. R-squared: 0.675
No. Observations: 924 RMSE: 413.05
Df Residuals: 922 MAE: 337.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1319.7540 50.3969 0.001 1220.5770 1420.6075
opcount 0.0250 0.0006 0.001 0.0238 0.0262
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 495
R² 0.8773
coef (ms) 0.004159
p-value 1.00e-03
95% CI [0.004021, 0.004305]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.877
No. Observations: 495 RMSE: 36.97
Df Residuals: 493 MAE: 27.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.0209 5.0988 0.001 89.5399 110.0219
opcount 0.0042 0.0001 0.001 0.0040 0.0043
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 385
R² 0.9718
coef (ms) 0.0009586
p-value 1.00e-03
95% CI [0.0009412, 0.0009761]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 385 RMSE: 3.88
Df Residuals: 383 MAE: 3.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.6685 0.7186 0.001 30.1811 33.1737
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · besu
nobs 1309
R² 0.7502
coef (ms) 0.0005008
p-value 1.00e-03
95% CI [0.0004842, 0.0005156]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.750
Model: NNLS Adj. R-squared: 0.750
No. Observations: 1309 RMSE: 149.60
Df Residuals: 1307 MAE: 113.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 645.9375 12.3576 0.001 622.7517 670.6851
opcount 0.0005 0.0000 0.001 0.0005 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · erigon
nobs 385
R² 0.9561
coef (ms) 0.0002581
p-value 1.00e-03
95% CI [0.0002526, 0.0002636]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.956
Model: NNLS Adj. R-squared: 0.956
No. Observations: 385 RMSE: 28.63
Df Residuals: 383 MAE: 21.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.8204 4.5260 0.001 44.7733 62.7949
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · ethrex
nobs 1276
R² 0.8345
coef (ms) 6.988e-05
p-value 1.00e-03
95% CI [6.811e-05, 7.174e-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: 1276 RMSE: 16.11
Df Residuals: 1274 MAE: 13.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.7114 1.5412 0.001 31.5777 37.6762
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · geth
nobs 924
R² 0.8822
coef (ms) 0.0001556
p-value 1.00e-03
95% CI [0.0001517, 0.0001595]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.882
No. Observations: 924 RMSE: 29.44
Df Residuals: 922 MAE: 23.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.2975 2.9507 0.001 31.5319 42.8065
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · nethermind
nobs 495
R² 0.3014
coef (ms) 0.0003792
p-value 1.00e-03
95% CI [0.0003291, 0.0004312]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.301
Model: NNLS Adj. R-squared: 0.300
No. Observations: 495 RMSE: 298.90
Df Residuals: 493 MAE: 211.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 209.4062 37.1160 0.001 137.3132 281.2303
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · reth
nobs 385
R² 0.9124
coef (ms) 4.631e-05
p-value 1.00e-03
95% CI [4.486e-05, 4.787e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.912
Model: NNLS Adj. R-squared: 0.912
No. Observations: 385 RMSE: 7.43
Df Residuals: 383 MAE: 6.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.4976 1.3195 0.001 15.9180 21.1127
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 1309
R² 0.6228
coef (ms) 0.000379
p-value 1.00e-03
95% CI [0.0003632, 0.0003935]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.623
Model: NNLS Adj. R-squared: 0.622
No. Observations: 1309 RMSE: 75.73
Df Residuals: 1307 MAE: 55.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 236.2689 6.9789 0.001 223.7825 250.1242
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 385
R² 0.8541
coef (ms) 6.221e-05
p-value 1.00e-03
95% CI [5.947e-05, 6.463e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.854
No. Observations: 385 RMSE: 6.60
Df Residuals: 383 MAE: 5.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.4926 1.1370 0.001 34.3023 38.9082
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 1276
R² 0.8046
coef (ms) 2.756e-05
p-value 1.00e-03
95% CI [2.677e-05, 2.837e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.804
No. Observations: 1276 RMSE: 3.49
Df Residuals: 1274 MAE: 2.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.2971 0.3104 0.001 7.6915 8.9064
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 924
R² 0.9339
coef (ms) 0.0003416
p-value 1.00e-03
95% CI [0.0003357, 0.0003473]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.934
Model: NNLS Adj. R-squared: 0.934
No. Observations: 924 RMSE: 23.32
Df Residuals: 922 MAE: 18.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.1068 2.2698 0.001 12.8862 21.4784
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 495
R² 0.8028
coef (ms) 0.0003551
p-value 1.00e-03
95% CI [0.0003414, 0.0003693]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.802
No. Observations: 495 RMSE: 45.19
Df Residuals: 493 MAE: 32.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 123.1844 5.6306 0.001 111.7990 133.8933
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 385
R² 0.708
coef (ms) 1.668e-05
p-value 1.00e-03
95% CI [1.541e-05, 1.782e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.708
Model: NNLS Adj. R-squared: 0.707
No. Observations: 385 RMSE: 2.75
Df Residuals: 383 MAE: 1.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.9448 0.4941 0.001 5.0647 6.9848
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · besu
nobs 1309
R² 0.6931
coef (ms) 0.001798
p-value 1.00e-03
95% CI [0.001736, 0.001863]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.693
Model: NNLS Adj. R-squared: 0.693
No. Observations: 1309 RMSE: 118.21
Df Residuals: 1307 MAE: 88.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 436.4434 10.8784 0.001 414.7137 456.2850
opcount 0.0018 0.0000 0.001 0.0017 0.0019
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · erigon
nobs 385
R² 0.9249
coef (ms) 0.0003083
p-value 1.00e-03
95% CI [0.0002995, 0.0003166]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.925
Model: NNLS Adj. R-squared: 0.925
No. Observations: 385 RMSE: 8.68
Df Residuals: 383 MAE: 6.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.5760 1.5750 0.001 35.5187 41.8715
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · ethrex
nobs 1276
R² 0.8673
coef (ms) 0.0001787
p-value 1.00e-03
95% CI [0.0001747, 0.0001826]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.867
No. Observations: 1276 RMSE: 6.90
Df Residuals: 1274 MAE: 4.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.4031 0.5713 0.001 17.2623 19.5516
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · geth
nobs 924
R² 0.8692
coef (ms) 0.0007338
p-value 1.00e-03
95% CI [0.0007143, 0.0007516]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 924 RMSE: 28.12
Df Residuals: 922 MAE: 22.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.8812 2.8066 0.001 42.8144 53.2872
opcount 0.0007 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · nethermind
nobs 495
R² 0.9042
coef (ms) 0.001383
p-value 1.00e-03
95% CI [0.001342, 0.001422]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.904
No. Observations: 495 RMSE: 44.47
Df Residuals: 493 MAE: 33.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 165.7509 6.1604 0.001 154.2767 177.7688
opcount 0.0014 0.0000 0.001 0.0013 0.0014
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · reth
nobs 385
R² 0.7804
coef (ms) 8.088e-05
p-value 1.00e-03
95% CI [7.573e-05, 8.601e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.780
Model: NNLS Adj. R-squared: 0.780
No. Observations: 385 RMSE: 4.24
Df Residuals: 383 MAE: 3.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.7186 0.7794 0.001 9.1734 12.2146
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 1309
R² 0.6228
coef (ms) 0.000379
p-value 1.00e-03
95% CI [0.0003632, 0.0003935]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.623
Model: NNLS Adj. R-squared: 0.622
No. Observations: 1309 RMSE: 75.73
Df Residuals: 1307 MAE: 55.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 236.2689 6.9789 0.001 223.7825 250.1242
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 385
R² 0.8541
coef (ms) 6.221e-05
p-value 1.00e-03
95% CI [5.947e-05, 6.463e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.854
No. Observations: 385 RMSE: 6.60
Df Residuals: 383 MAE: 5.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.4926 1.1370 0.001 34.3023 38.9082
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 1276
R² 0.8046
coef (ms) 2.756e-05
p-value 1.00e-03
95% CI [2.677e-05, 2.837e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.804
No. Observations: 1276 RMSE: 3.49
Df Residuals: 1274 MAE: 2.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.2971 0.3104 0.001 7.6915 8.9064
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 924
R² 0.9339
coef (ms) 0.0003416
p-value 1.00e-03
95% CI [0.0003357, 0.0003473]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.934
Model: NNLS Adj. R-squared: 0.934
No. Observations: 924 RMSE: 23.32
Df Residuals: 922 MAE: 18.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.1068 2.2698 0.001 12.8862 21.4784
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 495
R² 0.8028
coef (ms) 0.0003551
p-value 1.00e-03
95% CI [0.0003414, 0.0003693]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.802
No. Observations: 495 RMSE: 45.19
Df Residuals: 493 MAE: 32.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 123.1844 5.6306 0.001 111.7990 133.8933
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 385
R² 0.708
coef (ms) 1.668e-05
p-value 1.00e-03
95% CI [1.541e-05, 1.782e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.708
Model: NNLS Adj. R-squared: 0.707
No. Observations: 385 RMSE: 2.75
Df Residuals: 383 MAE: 1.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.9448 0.4941 0.001 5.0647 6.9848
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 1309
R² 0.7814
coef (ms) 0.01024
p-value 1.00e-03
95% CI [0.009936, 0.01054]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.781
Model: NNLS Adj. R-squared: 0.781
No. Observations: 1309 RMSE: 129.42
Df Residuals: 1307 MAE: 110.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 427.5180 11.6235 0.001 403.9812 450.4045
opcount 0.0102 0.0002 0.001 0.0099 0.0105
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 385
R² 0.9713
coef (ms) 0.008341
p-value 1.00e-03
95% CI [0.008179, 0.008457]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 385 RMSE: 34.27
Df Residuals: 383 MAE: 27.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2900 4.7093 0.103 0.0000 16.9126
opcount 0.0083 0.0001 0.001 0.0082 0.0085
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 1276
R² 0.9966
coef (ms) 0.002646
p-value 1.00e-03
95% CI [0.002643, 0.002649]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 1276 RMSE: 3.75
Df Residuals: 1274 MAE: 2.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0026 0.0000 0.001 0.0026 0.0026
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 924
R² 0.6695
coef (ms) 0.02671
p-value 1.00e-03
95% CI [0.0254, 0.02797]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.670
Model: NNLS Adj. R-squared: 0.669
No. Observations: 924 RMSE: 448.51
Df Residuals: 922 MAE: 372.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1209.5593 52.7106 0.001 1109.2492 1309.9437
opcount 0.0267 0.0007 0.001 0.0254 0.0280
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 495
R² 0.9114
coef (ms) 0.003964
p-value 1.00e-03
95% CI [0.00385, 0.004084]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.911
Model: NNLS Adj. R-squared: 0.911
No. Observations: 495 RMSE: 29.54
Df Residuals: 493 MAE: 21.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.2684 4.0244 0.001 71.7199 86.9695
opcount 0.0040 0.0001 0.001 0.0038 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 385
R² 0.9705
coef (ms) 0.0009006
p-value 1.00e-03
95% CI [0.0008849, 0.0009169]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.970
No. Observations: 385 RMSE: 3.75
Df Residuals: 383 MAE: 2.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.7925 0.6781 0.001 31.4496 34.0950
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · besu
nobs 1309
R² 0.8515
coef (ms) 0.02718
p-value 1.00e-03
95% CI [0.02662, 0.02777]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.851
No. Observations: 1309 RMSE: 236.15
Df Residuals: 1307 MAE: 194.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 425.7045 18.6591 0.001 388.2644 461.1441
opcount 0.0272 0.0003 0.001 0.0266 0.0278
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · erigon
nobs 385
R² 0.9122
coef (ms) 0.03463
p-value 1.00e-03
95% CI [0.03351, 0.03563]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.912
Model: NNLS Adj. R-squared: 0.912
No. Observations: 385 RMSE: 223.48
Df Residuals: 383 MAE: 191.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 382.5978 39.7611 0.001 307.0729 464.3145
opcount 0.0346 0.0005 0.001 0.0335 0.0356
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · ethrex
nobs 1276
R² 0.9726
coef (ms) 0.02509
p-value 1.00e-03
95% CI [0.0248, 0.02533]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 1276 RMSE: 87.54
Df Residuals: 1274 MAE: 75.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 362.2373 10.3952 0.001 343.2319 384.0113
opcount 0.0251 0.0001 0.001 0.0248 0.0253
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · geth
nobs 924
R² 0.6761
coef (ms) 0.02813
p-value 1.00e-03
95% CI [0.02675, 0.02949]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.676
Model: NNLS Adj. R-squared: 0.676
No. Observations: 924 RMSE: 405.12
Df Residuals: 922 MAE: 336.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1128.0355 47.5941 0.001 1033.8519 1222.3582
opcount 0.0281 0.0007 0.001 0.0267 0.0295
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · nethermind
nobs 495
R² 0.7359
coef (ms) 0.02542
p-value 1.00e-03
95% CI [0.02409, 0.02676]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.736
Model: NNLS Adj. R-squared: 0.735
No. Observations: 495 RMSE: 316.80
Df Residuals: 493 MAE: 266.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 819.4173 49.9283 0.001 722.9480 912.5473
opcount 0.0254 0.0007 0.001 0.0241 0.0268
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · reth
nobs 385
R² 0.896
coef (ms) 0.03556
p-value 1.00e-03
95% CI [0.03401, 0.03712]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.896
No. Observations: 385 RMSE: 252.04
Df Residuals: 383 MAE: 154.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 161.9723 50.8374 0.002 63.9355 260.4102
opcount 0.0356 0.0008 0.001 0.0340 0.0371
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 1309
R² 0.7814
coef (ms) 0.01024
p-value 1.00e-03
95% CI [0.009936, 0.01054]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.781
Model: NNLS Adj. R-squared: 0.781
No. Observations: 1309 RMSE: 129.42
Df Residuals: 1307 MAE: 110.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 427.5180 11.6235 0.001 403.9812 450.4045
opcount 0.0102 0.0002 0.001 0.0099 0.0105
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 385
R² 0.9713
coef (ms) 0.008341
p-value 1.00e-03
95% CI [0.008179, 0.008457]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 385 RMSE: 34.27
Df Residuals: 383 MAE: 27.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2900 4.7093 0.103 0.0000 16.9126
opcount 0.0083 0.0001 0.001 0.0082 0.0085
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 1276
R² 0.9966
coef (ms) 0.002646
p-value 1.00e-03
95% CI [0.002643, 0.002649]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 1276 RMSE: 3.75
Df Residuals: 1274 MAE: 2.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0026 0.0000 0.001 0.0026 0.0026
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 924
R² 0.6695
coef (ms) 0.02671
p-value 1.00e-03
95% CI [0.0254, 0.02797]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.670
Model: NNLS Adj. R-squared: 0.669
No. Observations: 924 RMSE: 448.51
Df Residuals: 922 MAE: 372.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1209.5593 52.7106 0.001 1109.2492 1309.9437
opcount 0.0267 0.0007 0.001 0.0254 0.0280
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 495
R² 0.9114
coef (ms) 0.003964
p-value 1.00e-03
95% CI [0.00385, 0.004084]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.911
Model: NNLS Adj. R-squared: 0.911
No. Observations: 495 RMSE: 29.54
Df Residuals: 493 MAE: 21.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.2684 4.0244 0.001 71.7199 86.9695
opcount 0.0040 0.0001 0.001 0.0038 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 385
R² 0.9705
coef (ms) 0.0009006
p-value 1.00e-03
95% CI [0.0008849, 0.0009169]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.970
No. Observations: 385 RMSE: 3.75
Df Residuals: 383 MAE: 2.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.7925 0.6781 0.001 31.4496 34.0950
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · besu
nobs 1309
R² 0.6296
coef (ms) 0.0001516
p-value 1.00e-03
95% CI [0.0001444, 0.0001581]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.630
Model: NNLS Adj. R-squared: 0.629
No. Observations: 1309 RMSE: 67.98
Df Residuals: 1307 MAE: 50.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 194.9734 7.1942 0.001 181.4326 209.8176
opcount 0.0002 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · erigon
nobs 385
R² 0.8992
coef (ms) 0.0002698
p-value 1.00e-03
95% CI [0.0002611, 0.0002787]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.899
No. Observations: 385 RMSE: 52.82
Df Residuals: 383 MAE: 44.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.5862 7.4540 0.001 31.8652 61.5710
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · ethrex
nobs 1276
R² 0.7792
coef (ms) 1.039e-05
p-value 1.00e-03
95% CI [1.006e-05, 1.074e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.779
Model: NNLS Adj. R-squared: 0.779
No. Observations: 1276 RMSE: 3.24
Df Residuals: 1274 MAE: 2.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.1714 0.2862 0.001 6.5865 7.7496
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · geth
nobs 924
R² 0.813
coef (ms) 4.183e-05
p-value 1.00e-03
95% CI [4.053e-05, 4.317e-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: 924 RMSE: 11.73
Df Residuals: 922 MAE: 8.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.8684 1.1328 0.001 13.6119 18.0080
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · nethermind
nobs 495
R² 0.5283
coef (ms) 0.0002223
p-value 1.00e-03
95% CI [0.0002051, 0.0002429]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.528
Model: NNLS Adj. R-squared: 0.527
No. Observations: 495 RMSE: 122.81
Df Residuals: 493 MAE: 102.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 130.8864 15.6831 0.001 97.3086 160.0554
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · reth
nobs 385
R² 0.6739
coef (ms) 7.994e-06
p-value 1.00e-03
95% CI [7.513e-06, 8.518e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.674
Model: NNLS Adj. R-squared: 0.673
No. Observations: 385 RMSE: 3.25
Df Residuals: 383 MAE: 2.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.0721 0.4773 0.001 5.1408 7.0560
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 1309
R² 0.7774
coef (ms) 0.01018
p-value 1.00e-03
95% CI [0.009884, 0.0105]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.777
Model: NNLS Adj. R-squared: 0.777
No. Observations: 1309 RMSE: 130.16
Df Residuals: 1307 MAE: 110.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 431.1873 12.0702 0.001 406.7929 455.1830
opcount 0.0102 0.0002 0.001 0.0099 0.0105
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 385
R² 0.9712
coef (ms) 0.008578
p-value 1.00e-03
95% CI [0.008408, 0.008699]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 385 RMSE: 35.33
Df Residuals: 383 MAE: 28.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2999 4.8768 0.122 0.0000 17.5189
opcount 0.0086 0.0001 0.001 0.0084 0.0087
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 1276
R² 0.9961
coef (ms) 0.002646
p-value 1.00e-03
95% CI [0.002643, 0.002649]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 1276 RMSE: 3.97
Df Residuals: 1274 MAE: 3.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0026 0.0000 0.001 0.0026 0.0026
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 924
R² 0.6773
coef (ms) 0.02713
p-value 1.00e-03
95% CI [0.02591, 0.02841]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.677
Model: NNLS Adj. R-squared: 0.677
No. Observations: 924 RMSE: 447.56
Df Residuals: 922 MAE: 373.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1180.8220 50.0275 0.001 1079.0681 1275.4907
opcount 0.0271 0.0006 0.001 0.0259 0.0284
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 495
R² 0.9267
coef (ms) 0.003987
p-value 1.00e-03
95% CI [0.003894, 0.004094]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.927
No. Observations: 495 RMSE: 26.81
Df Residuals: 493 MAE: 19.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.6371 3.6898 0.001 69.1175 83.4446
opcount 0.0040 0.0001 0.001 0.0039 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 385
R² 0.9749
coef (ms) 0.0009229
p-value 1.00e-03
95% CI [0.0009077, 0.0009398]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 385 RMSE: 3.54
Df Residuals: 383 MAE: 2.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.3417 0.6120 0.001 30.0873 32.5223
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · besu
nobs 1309
R² 0.8546
coef (ms) 0.02728
p-value 1.00e-03
95% CI [0.02673, 0.02787]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.855
Model: NNLS Adj. R-squared: 0.855
No. Observations: 1309 RMSE: 234.10
Df Residuals: 1307 MAE: 191.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 415.0875 18.3915 0.001 377.7531 450.1869
opcount 0.0273 0.0003 0.001 0.0267 0.0279
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · erigon
nobs 385
R² 0.8769
coef (ms) 0.08473
p-value 1.00e-03
95% CI [0.08153, 0.08758]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.877
No. Observations: 385 RMSE: 660.63
Df Residuals: 383 MAE: 570.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1463.8164 117.7754 0.001 1248.7803 1716.2744
opcount 0.0847 0.0015 0.001 0.0815 0.0876
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 1276
R² 0.9711
coef (ms) 0.02553
p-value 1.00e-03
95% CI [0.02523, 0.02581]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 1276 RMSE: 91.68
Df Residuals: 1274 MAE: 79.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 350.6747 10.6228 0.001 330.5243 371.7681
opcount 0.0255 0.0001 0.001 0.0252 0.0258
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · geth
nobs 924
R² 0.6811
coef (ms) 0.02894
p-value 1.00e-03
95% CI [0.02763, 0.03035]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.681
Model: NNLS Adj. R-squared: 0.681
No. Observations: 924 RMSE: 412.08
Df Residuals: 922 MAE: 343.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1100.6106 48.4269 0.001 1005.7373 1194.1882
opcount 0.0289 0.0007 0.001 0.0276 0.0304
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 495
R² 0.7469
coef (ms) 0.02512
p-value 1.00e-03
95% CI [0.02381, 0.02648]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.747
Model: NNLS Adj. R-squared: 0.746
No. Observations: 495 RMSE: 304.20
Df Residuals: 493 MAE: 254.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 814.7618 50.1103 0.001 716.9679 912.2274
opcount 0.0251 0.0007 0.001 0.0238 0.0265
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · reth
nobs 385
R² 0.9187
coef (ms) 0.03444
p-value 1.00e-03
95% CI [0.0332, 0.03561]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.919
Model: NNLS Adj. R-squared: 0.919
No. Observations: 385 RMSE: 213.11
Df Residuals: 383 MAE: 141.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 230.6103 45.7777 0.001 145.1182 326.1791
opcount 0.0344 0.0006 0.001 0.0332 0.0356
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 1309
R² 0.7774
coef (ms) 0.01018
p-value 1.00e-03
95% CI [0.009884, 0.0105]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.777
Model: NNLS Adj. R-squared: 0.777
No. Observations: 1309 RMSE: 130.16
Df Residuals: 1307 MAE: 110.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 431.1873 12.0702 0.001 406.7929 455.1830
opcount 0.0102 0.0002 0.001 0.0099 0.0105
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 385
R² 0.9712
coef (ms) 0.008578
p-value 1.00e-03
95% CI [0.008408, 0.008699]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 385 RMSE: 35.33
Df Residuals: 383 MAE: 28.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2999 4.8768 0.122 0.0000 17.5189
opcount 0.0086 0.0001 0.001 0.0084 0.0087
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 1276
R² 0.9961
coef (ms) 0.002646
p-value 1.00e-03
95% CI [0.002643, 0.002649]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 1276 RMSE: 3.97
Df Residuals: 1274 MAE: 3.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0026 0.0000 0.001 0.0026 0.0026
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 924
R² 0.6773
coef (ms) 0.02713
p-value 1.00e-03
95% CI [0.02591, 0.02841]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.677
Model: NNLS Adj. R-squared: 0.677
No. Observations: 924 RMSE: 447.56
Df Residuals: 922 MAE: 373.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1180.8220 50.0275 0.001 1079.0681 1275.4907
opcount 0.0271 0.0006 0.001 0.0259 0.0284
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 495
R² 0.9267
coef (ms) 0.003987
p-value 1.00e-03
95% CI [0.003894, 0.004094]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.927
No. Observations: 495 RMSE: 26.81
Df Residuals: 493 MAE: 19.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.6371 3.6898 0.001 69.1175 83.4446
opcount 0.0040 0.0001 0.001 0.0039 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 385
R² 0.9749
coef (ms) 0.0009229
p-value 1.00e-03
95% CI [0.0009077, 0.0009398]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 385 RMSE: 3.54
Df Residuals: 383 MAE: 2.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.3417 0.6120 0.001 30.0873 32.5223
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · besu
nobs 1309
R² 0.6269
coef (ms) 0.0001483
p-value 1.00e-03
95% CI [0.0001418, 0.0001551]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.627
Model: NNLS Adj. R-squared: 0.627
No. Observations: 1309 RMSE: 66.91
Df Residuals: 1307 MAE: 50.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 200.7088 7.1034 0.001 187.1502 213.9615
opcount 0.0001 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · erigon
nobs 385
R² 0.94
coef (ms) 4.457e-05
p-value 1.00e-03
95% CI [4.337e-05, 4.582e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.940
Model: NNLS Adj. R-squared: 0.940
No. Observations: 385 RMSE: 6.59
Df Residuals: 383 MAE: 4.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.7388 1.0680 0.001 34.7428 38.9120
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · ethrex
nobs 1276
R² 0.7967
coef (ms) 1.085e-05
p-value 1.00e-03
95% CI [1.054e-05, 1.118e-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: 1276 RMSE: 3.21
Df Residuals: 1274 MAE: 2.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.2826 0.2901 0.001 6.7279 7.8271
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · geth
nobs 924
R² 0.7763
coef (ms) 3.085e-05
p-value 1.00e-03
95% CI [2.967e-05, 3.192e-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: 924 RMSE: 9.69
Df Residuals: 922 MAE: 7.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.7234 0.9335 0.001 12.9744 16.6608
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · nethermind
nobs 495
R² 0.6886
coef (ms) 0.0001806
p-value 1.00e-03
95% CI [0.0001689, 0.0001919]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.689
Model: NNLS Adj. R-squared: 0.688
No. Observations: 495 RMSE: 71.04
Df Residuals: 493 MAE: 56.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 87.3010 10.0556 0.001 67.3414 107.3850
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · reth
nobs 385
R² 0.6203
coef (ms) 5.635e-06
p-value 1.00e-03
95% CI [5.201e-06, 6.088e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.620
Model: NNLS Adj. R-squared: 0.619
No. Observations: 385 RMSE: 2.58
Df Residuals: 383 MAE: 1.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.3591 0.4198 0.001 4.5223 6.1815
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · besu
nobs 1309
R² 0.7349
coef (ms) 0.01218
p-value 1.00e-03
95% CI [0.01178, 0.01259]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.735
Model: NNLS Adj. R-squared: 0.735
No. Observations: 1309 RMSE: 173.97
Df Residuals: 1307 MAE: 148.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 540.4194 15.8803 0.001 511.0124 571.9607
opcount 0.0122 0.0002 0.001 0.0118 0.0126
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · erigon
nobs 385
R² 0.9848
coef (ms) 0.01006
p-value 1.00e-03
95% CI [0.009946, 0.01019]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.985
Model: NNLS Adj. R-squared: 0.985
No. Observations: 385 RMSE: 29.74
Df Residuals: 383 MAE: 23.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.2489 4.3176 0.001 28.8452 46.2702
opcount 0.0101 0.0001 0.001 0.0099 0.0102
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · ethrex
nobs 1276
R² 0.973
coef (ms) 0.02472
p-value 1.00e-03
95% CI [0.02445, 0.02499]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 1276 RMSE: 97.83
Df Residuals: 1274 MAE: 87.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 370.9902 10.7854 0.001 350.1455 392.4267
opcount 0.0247 0.0001 0.001 0.0245 0.0250
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · geth
nobs 924
R² 0.7558
coef (ms) 0.01165
p-value 1.00e-03
95% CI [0.01123, 0.01209]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.756
Model: NNLS Adj. R-squared: 0.756
No. Observations: 924 RMSE: 157.48
Df Residuals: 922 MAE: 125.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 368.6378 14.5513 0.001 339.7842 398.3557
opcount 0.0117 0.0002 0.001 0.0112 0.0121
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · nethermind
nobs 495
R² 0.8881
coef (ms) 0.004299
p-value 1.00e-03
95% CI [0.004174, 0.004439]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.888
Model: NNLS Adj. R-squared: 0.888
No. Observations: 495 RMSE: 36.28
Df Residuals: 493 MAE: 26.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.2515 4.6884 0.001 79.3591 98.1795
opcount 0.0043 0.0001 0.001 0.0042 0.0044
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · reth
nobs 385
R² 0.9748
coef (ms) 0.001133
p-value 1.00e-03
95% CI [0.001113, 0.001153]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 385 RMSE: 4.33
Df Residuals: 383 MAE: 3.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.0872 0.8030 0.001 30.5283 33.6789
opcount 0.0011 0.0000 0.001 0.0011 0.0012
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 1309
R² 0.7777
coef (ms) 0.01264
p-value 1.00e-03
95% CI [0.01225, 0.01301]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.778
Model: NNLS Adj. R-squared: 0.777
No. Observations: 1309 RMSE: 160.67
Df Residuals: 1307 MAE: 135.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 455.3163 14.1412 0.001 428.0218 483.2052
opcount 0.0126 0.0002 0.001 0.0123 0.0130
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 385
R² 0.9851
coef (ms) 0.01147
p-value 1.00e-03
95% CI [0.01138, 0.01151]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.985
Model: NNLS Adj. R-squared: 0.985
No. Observations: 385 RMSE: 33.75
Df Residuals: 383 MAE: 26.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.3507 1.000 0.0000 4.2974
opcount 0.0115 0.0000 0.001 0.0114 0.0115
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 1276
R² 0.9961
coef (ms) 0.0027
p-value 1.00e-03
95% CI [0.00269, 0.002709]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 1276 RMSE: 3.99
Df Residuals: 1274 MAE: 3.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.6114 0.3586 0.040 0.0000 1.3407
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 924
R² 0.6729
coef (ms) 0.02479
p-value 1.00e-03
95% CI [0.02364, 0.026]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.673
Model: NNLS Adj. R-squared: 0.673
No. Observations: 924 RMSE: 410.91
Df Residuals: 922 MAE: 336.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1372.6315 48.1363 0.001 1276.3188 1468.6422
opcount 0.0248 0.0006 0.001 0.0236 0.0260
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 495
R² 0.8743
coef (ms) 0.004223
p-value 1.00e-03
95% CI [0.004078, 0.004366]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.874
Model: NNLS Adj. R-squared: 0.874
No. Observations: 495 RMSE: 38.07
Df Residuals: 493 MAE: 27.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 104.3567 5.3718 0.001 94.0045 114.9323
opcount 0.0042 0.0001 0.001 0.0041 0.0044
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 385
R² 0.9716
coef (ms) 0.000975
p-value 1.00e-03
95% CI [0.0009574, 0.0009917]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 385 RMSE: 3.96
Df Residuals: 383 MAE: 3.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.5376 0.6860 0.001 30.2271 32.9646
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · besu
nobs 1309
R² 0.8675
coef (ms) 0.02926
p-value 1.00e-03
95% CI [0.02868, 0.02977]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.867
No. Observations: 1309 RMSE: 232.96
Df Residuals: 1307 MAE: 194.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 442.9823 18.4656 0.001 408.1048 479.2095
opcount 0.0293 0.0003 0.001 0.0287 0.0298
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 385
R² 0.878
coef (ms) 0.08656
p-value 1.00e-03
95% CI [0.08328, 0.08974]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.878
No. Observations: 385 RMSE: 657.25
Df Residuals: 383 MAE: 565.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1397.5976 126.3791 0.001 1158.3445 1646.3718
opcount 0.0866 0.0016 0.001 0.0833 0.0897
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 1276
R² 0.972
coef (ms) 0.02588
p-value 1.00e-03
95% CI [0.02559, 0.02613]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 1276 RMSE: 89.46
Df Residuals: 1274 MAE: 78.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 339.6156 9.9903 0.001 321.4037 359.7800
opcount 0.0259 0.0001 0.001 0.0256 0.0261
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · geth
nobs 924
R² 0.6947
coef (ms) 0.02941
p-value 1.00e-03
95% CI [0.028, 0.03076]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.695
Model: NNLS Adj. R-squared: 0.694
No. Observations: 924 RMSE: 397.13
Df Residuals: 922 MAE: 328.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1104.9516 47.4309 0.001 1014.2960 1196.4505
opcount 0.0294 0.0007 0.001 0.0280 0.0308
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 495
R² 0.7448
coef (ms) 0.02549
p-value 1.00e-03
95% CI [0.02413, 0.02681]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.745
Model: NNLS Adj. R-squared: 0.744
No. Observations: 495 RMSE: 303.94
Df Residuals: 493 MAE: 256.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 890.0507 49.3551 0.001 799.1035 993.3621
opcount 0.0255 0.0007 0.001 0.0241 0.0268
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · reth
nobs 385
R² 0.8731
coef (ms) 0.03595
p-value 1.00e-03
95% CI [0.03439, 0.03775]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.873
Model: NNLS Adj. R-squared: 0.873
No. Observations: 385 RMSE: 279.15
Df Residuals: 383 MAE: 162.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 165.3758 53.1355 0.002 63.3237 262.7344
opcount 0.0359 0.0009 0.001 0.0344 0.0377
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 1309
R² 0.7777
coef (ms) 0.01264
p-value 1.00e-03
95% CI [0.01225, 0.01301]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.778
Model: NNLS Adj. R-squared: 0.777
No. Observations: 1309 RMSE: 160.67
Df Residuals: 1307 MAE: 135.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 455.3163 14.1412 0.001 428.0218 483.2052
opcount 0.0126 0.0002 0.001 0.0123 0.0130
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 385
R² 0.9851
coef (ms) 0.01147
p-value 1.00e-03
95% CI [0.01138, 0.01151]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.985
Model: NNLS Adj. R-squared: 0.985
No. Observations: 385 RMSE: 33.75
Df Residuals: 383 MAE: 26.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.3507 1.000 0.0000 4.2974
opcount 0.0115 0.0000 0.001 0.0114 0.0115
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 1276
R² 0.9961
coef (ms) 0.0027
p-value 1.00e-03
95% CI [0.00269, 0.002709]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 1276 RMSE: 3.99
Df Residuals: 1274 MAE: 3.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.6114 0.3586 0.040 0.0000 1.3407
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 924
R² 0.6729
coef (ms) 0.02479
p-value 1.00e-03
95% CI [0.02364, 0.026]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.673
Model: NNLS Adj. R-squared: 0.673
No. Observations: 924 RMSE: 410.91
Df Residuals: 922 MAE: 336.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1372.6315 48.1363 0.001 1276.3188 1468.6422
opcount 0.0248 0.0006 0.001 0.0236 0.0260
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 495
R² 0.8743
coef (ms) 0.004223
p-value 1.00e-03
95% CI [0.004078, 0.004366]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.874
Model: NNLS Adj. R-squared: 0.874
No. Observations: 495 RMSE: 38.07
Df Residuals: 493 MAE: 27.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 104.3567 5.3718 0.001 94.0045 114.9323
opcount 0.0042 0.0001 0.001 0.0041 0.0044
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 385
R² 0.9716
coef (ms) 0.000975
p-value 1.00e-03
95% CI [0.0009574, 0.0009917]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 385 RMSE: 3.96
Df Residuals: 383 MAE: 3.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.5376 0.6860 0.001 30.2271 32.9646
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · besu
nobs 1309
R² 0.7294
coef (ms) 0.0005061
p-value 1.00e-03
95% CI [0.0004893, 0.0005232]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.729
Model: NNLS Adj. R-squared: 0.729
No. Observations: 1309 RMSE: 159.56
Df Residuals: 1307 MAE: 120.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 613.2866 13.8197 0.001 586.1386 639.5257
opcount 0.0005 0.0000 0.001 0.0005 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · erigon
nobs 385
R² 0.9844
coef (ms) 0.0005747
p-value 1.00e-03
95% CI [0.000568, 0.0005818]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 385 RMSE: 37.44
Df Residuals: 383 MAE: 28.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.3661 5.8428 0.001 40.4674 64.0147
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · ethrex
nobs 1276
R² 0.839
coef (ms) 6.894e-05
p-value 1.00e-03
95% CI [6.711e-05, 7.071e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.839
No. Observations: 1276 RMSE: 15.63
Df Residuals: 1274 MAE: 13.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.6803 1.5907 0.001 29.5557 35.8112
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · geth
nobs 924
R² 0.8768
coef (ms) 0.0001806
p-value 1.00e-03
95% CI [0.000176, 0.0001852]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.877
No. Observations: 924 RMSE: 35.04
Df Residuals: 922 MAE: 27.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.0400 3.4450 0.001 37.5255 50.8391
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · nethermind
nobs 495
R² 0.3255
coef (ms) 0.0003841
p-value 1.00e-03
95% CI [0.0003397, 0.0004314]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.326
Model: NNLS Adj. R-squared: 0.324
No. Observations: 495 RMSE: 286.19
Df Residuals: 493 MAE: 201.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 183.4230 35.8189 0.001 115.4719 251.7662
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · reth
nobs 385
R² 0.9095
coef (ms) 4.776e-05
p-value 1.00e-03
95% CI [4.612e-05, 4.936e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.910
Model: NNLS Adj. R-squared: 0.909
No. Observations: 385 RMSE: 7.80
Df Residuals: 383 MAE: 6.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.6217 1.3945 0.001 13.8397 19.3387
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================