# Runtime estimation report
Per-spec NNLS fits of `test_runtime_ms` against `opcount`, one row per (target opcode, test, model_by combo, client).
> Note: this is a bundled snapshot of the analysis output. The per-client regression, bootstrap, and diagnostic plots are omitted here; the figure-rich version is published on the live analysis site linked from the EIP's discussions-to thread.
## Contents
- [DIV](#div)
- [SDIV](#sdiv)
- [MOD](#mod)
- [SMOD](#smod)
- [ADDMOD](#addmod)
- [MULMOD](#mulmod)
- [KECCAK256](#keccak256)
- [ECRECOVER](#ecrecover)
- [BLAKE2F](#blake2f)
- [BLS12_G1ADD](#bls12_g1add)
- [BLS12_G2ADD](#bls12_g2add)
- [ECADD](#ecadd)
- [ECPAIRING](#ecpairing)
- [POINT_EVALUATION](#point_evaluation)
- [P256VERIFY](#p256verify)
## DIV
### test_arithmetic
| client | nobs | R² | target_coef (ms) | p-value | 95% CI |
| --- | --- | --- | --- | --- | --- |
| `besu` | 3652 | 0.7121 | 1.517e-05 | 1.00e-03 | [1.487e-05, 1.547e-05] |
| `erigon` | 231 | 0.8953 | 1.012e-05 | 1.00e-03 | [9.693e-06, 1.054e-05] |
| `ethrex` | 1562 | 0.8405 | 9.341e-06 | 1.00e-03 | [9.109e-06, 9.565e-06] |
| `geth` | 4092 | 0.798 | 9.484e-06 | 1.00e-03 | [9.331e-06, 9.646e-06] |
| `nethermind` | 1155 | 0.6416 | 7.747e-06 | 1.00e-03 | [7.305e-06, 8.208e-06] |
| `reth` | 99 | 0.8305 | 7.01e-06 | 1.00e-03 | [6.317e-06, 7.706e-06] |
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.712
Model: NNLS Adj. R-squared: 0.712
No. Observations: 3652 RMSE: 76.17
Df Residuals: 3650 MAE: 61.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 141.9384 3.5555 0.001 134.9084 148.7499
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.895
No. Observations: 231 RMSE: 27.32
Df Residuals: 229 MAE: 23.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.9785 5.9218 0.001 12.7086 35.5325
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.840
No. Observations: 1562 RMSE: 32.13
Df Residuals: 1560 MAE: 27.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.4046 3.1072 0.001 66.3321 78.7320
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.798
No. Observations: 4092 RMSE: 37.67
Df Residuals: 4090 MAE: 30.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 75.8186 2.1321 0.001 71.8208 79.8344
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.642
Model: NNLS Adj. R-squared: 0.641
No. Observations: 1155 RMSE: 45.71
Df Residuals: 1153 MAE: 36.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 129.0635 6.1217 0.001 116.3925 141.1473
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.829
No. Observations: 99 RMSE: 25.00
Df Residuals: 97 MAE: 21.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.0211 9.3538 0.001 36.6781 74.0580
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.786
Model: NNLS Adj. R-squared: 0.786
No. Observations: 3652 RMSE: 68.25
Df Residuals: 3650 MAE: 56.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 133.1578 3.6254 0.001 126.3311 140.6890
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.821
Model: NNLS Adj. R-squared: 0.820
No. Observations: 231 RMSE: 40.76
Df Residuals: 229 MAE: 28.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.8380 11.1047 0.001 21.8948 64.9287
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.842
Model: NNLS Adj. R-squared: 0.841
No. Observations: 1562 RMSE: 32.36
Df Residuals: 1560 MAE: 27.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 75.0055 3.2793 0.001 68.5648 81.4451
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 4092 RMSE: 36.33
Df Residuals: 4090 MAE: 30.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.4371 2.1093 0.001 75.3166 83.5254
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.864
No. Observations: 1155 RMSE: 41.24
Df Residuals: 1153 MAE: 32.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 68.1618 3.5384 0.001 60.9392 74.8485
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.841
No. Observations: 99 RMSE: 30.52
Df Residuals: 97 MAE: 24.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.1655 11.2760 0.001 53.4124 97.1894
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.842
Model: NNLS Adj. R-squared: 0.842
No. Observations: 3652 RMSE: 66.83
Df Residuals: 3650 MAE: 55.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 131.8563 3.8783 0.001 124.2440 139.0374
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.888
Model: NNLS Adj. R-squared: 0.888
No. Observations: 231 RMSE: 34.06
Df Residuals: 229 MAE: 29.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.7815 7.0218 0.001 24.1740 51.4539
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.838
Model: NNLS Adj. R-squared: 0.838
No. Observations: 1562 RMSE: 35.96
Df Residuals: 1560 MAE: 30.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.1718 3.6730 0.001 75.5832 90.0965
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.833
No. Observations: 4092 RMSE: 40.79
Df Residuals: 4090 MAE: 34.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 88.0946 2.4571 0.001 83.2459 92.9181
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.885
Model: NNLS Adj. R-squared: 0.885
No. Observations: 1155 RMSE: 28.78
Df Residuals: 1153 MAE: 22.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.3388 2.3979 0.001 39.8336 49.1209
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.851
No. Observations: 99 RMSE: 23.01
Df Residuals: 97 MAE: 19.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.7237 8.6950 0.001 34.7373 67.9577
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.831
Model: NNLS Adj. R-squared: 0.831
No. Observations: 3652 RMSE: 63.37
Df Residuals: 3650 MAE: 52.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 132.5314 3.3678 0.001 126.0903 139.1599
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.840
No. Observations: 231 RMSE: 40.42
Df Residuals: 229 MAE: 29.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.5724 6.6088 0.001 23.1426 49.5225
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.840
No. Observations: 1562 RMSE: 30.42
Df Residuals: 1560 MAE: 25.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.9856 3.0064 0.001 65.1218 76.7602
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 4092 RMSE: 38.96
Df Residuals: 4090 MAE: 32.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.9228 2.3436 0.001 79.1851 88.4416
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.895
No. Observations: 1155 RMSE: 30.23
Df Residuals: 1153 MAE: 23.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.9802 2.5763 0.001 46.2622 56.1335
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.847
No. Observations: 99 RMSE: 32.22
Df Residuals: 97 MAE: 26.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 80.1545 12.0225 0.001 57.1653 103.6467
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 3652 RMSE: 56.80
Df Residuals: 3650 MAE: 47.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 103.0783 3.0838 0.001 96.8893 108.9770
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.768
Model: NNLS Adj. R-squared: 0.767
No. Observations: 231 RMSE: 50.55
Df Residuals: 229 MAE: 32.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.8941 6.6814 0.001 15.1897 41.4582
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.837
Model: NNLS Adj. R-squared: 0.837
No. Observations: 1562 RMSE: 24.16
Df Residuals: 1560 MAE: 19.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.7166 2.5082 0.001 49.9655 59.9829
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 4092 RMSE: 35.62
Df Residuals: 4090 MAE: 30.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.1088 2.0554 0.001 72.2294 80.1210
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.920
Model: NNLS Adj. R-squared: 0.920
No. Observations: 1155 RMSE: 24.05
Df Residuals: 1153 MAE: 19.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.0879 2.3025 0.001 45.7861 54.8095
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.831
Model: NNLS Adj. R-squared: 0.830
No. Observations: 99 RMSE: 28.59
Df Residuals: 97 MAE: 23.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.8179 9.8075 0.001 55.6624 93.6979
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.819
Model: NNLS Adj. R-squared: 0.819
No. Observations: 3652 RMSE: 53.86
Df Residuals: 3650 MAE: 44.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 98.0392 3.1849 0.001 92.0876 104.0915
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.756
Model: NNLS Adj. R-squared: 0.755
No. Observations: 231 RMSE: 40.66
Df Residuals: 229 MAE: 21.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.1955 5.5091 0.002 4.8600 27.3480
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 1562 RMSE: 20.05
Df Residuals: 1560 MAE: 16.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.3450 1.9118 0.001 40.4827 48.0979
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 4092 RMSE: 29.05
Df Residuals: 4090 MAE: 24.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.0235 1.7256 0.001 58.7117 65.4521
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.901
Model: NNLS Adj. R-squared: 0.901
No. Observations: 1155 RMSE: 18.04
Df Residuals: 1153 MAE: 12.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.4773 1.3868 0.001 28.7883 34.0949
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.860
Model: NNLS Adj. R-squared: 0.858
No. Observations: 99 RMSE: 20.20
Df Residuals: 97 MAE: 16.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.8488 6.9785 0.001 37.9509 65.7563
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.847
Model: NNLS Adj. R-squared: 0.847
No. Observations: 3652 RMSE: 67.64
Df Residuals: 3650 MAE: 56.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 142.8678 4.0678 0.001 134.6763 150.7313
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.895
No. Observations: 231 RMSE: 34.73
Df Residuals: 229 MAE: 30.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.0862 7.1611 0.001 19.6539 48.1089
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 1562 RMSE: 37.08
Df Residuals: 1560 MAE: 31.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 81.5883 3.5414 0.001 74.6095 88.3820
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 4092 RMSE: 43.15
Df Residuals: 4090 MAE: 36.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 88.0482 2.5544 0.001 82.9009 92.9295
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.933
No. Observations: 1155 RMSE: 23.21
Df Residuals: 1153 MAE: 18.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.9030 2.2200 0.001 44.5088 53.2733
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 99 RMSE: 21.64
Df Residuals: 97 MAE: 17.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.1200 7.9813 0.001 40.9087 72.0673
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.830
No. Observations: 3652 RMSE: 66.87
Df Residuals: 3650 MAE: 55.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 133.6374 3.7811 0.001 126.9613 141.4523
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.894
No. Observations: 231 RMSE: 33.68
Df Residuals: 229 MAE: 29.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.4731 6.9291 0.001 21.4734 48.7536
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.839
No. Observations: 1562 RMSE: 30.97
Df Residuals: 1560 MAE: 26.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.3621 3.0443 0.001 64.8521 76.5328
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.831
Model: NNLS Adj. R-squared: 0.831
No. Observations: 4092 RMSE: 41.11
Df Residuals: 4090 MAE: 34.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 85.7090 2.4385 0.001 80.5961 90.5012
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.914
No. Observations: 1155 RMSE: 30.02
Df Residuals: 1153 MAE: 23.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.4057 2.6612 0.001 50.4132 60.8283
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.857
No. Observations: 99 RMSE: 33.81
Df Residuals: 97 MAE: 28.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 66.7033 13.2193 0.001 40.6144 94.4093
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.811
No. Observations: 3652 RMSE: 58.54
Df Residuals: 3650 MAE: 48.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 105.2530 3.2482 0.001 98.6946 111.2062
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.877
No. Observations: 231 RMSE: 35.16
Df Residuals: 229 MAE: 27.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.5224 7.8330 0.003 7.6607 38.1582
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.838
Model: NNLS Adj. R-squared: 0.838
No. Observations: 1562 RMSE: 25.30
Df Residuals: 1560 MAE: 21.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.0181 2.5050 0.001 49.8847 59.8868
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.831
Model: NNLS Adj. R-squared: 0.831
No. Observations: 4092 RMSE: 36.60
Df Residuals: 4090 MAE: 30.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 78.8605 2.2117 0.001 74.3816 83.1446
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.926
No. Observations: 1155 RMSE: 24.75
Df Residuals: 1153 MAE: 19.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.5899 2.4067 0.001 46.1960 55.2439
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.842
Model: NNLS Adj. R-squared: 0.841
No. Observations: 99 RMSE: 29.87
Df Residuals: 97 MAE: 25.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 69.8202 10.8710 0.001 48.1953 90.9060
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.812
Model: NNLS Adj. R-squared: 0.812
No. Observations: 3652 RMSE: 58.82
Df Residuals: 3650 MAE: 48.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 114.5869 3.2754 0.001 108.3147 120.9429
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.894
Model: NNLS Adj. R-squared: 0.893
No. Observations: 231 RMSE: 25.01
Df Residuals: 229 MAE: 20.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.2036 5.3776 0.001 8.8490 29.9323
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.828
Model: NNLS Adj. R-squared: 0.827
No. Observations: 1562 RMSE: 16.35
Df Residuals: 1560 MAE: 13.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.5186 1.5748 0.001 34.5816 40.6265
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 4092 RMSE: 30.88
Df Residuals: 4090 MAE: 25.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 67.7025 1.8227 0.001 64.0458 71.2905
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.915
No. Observations: 1155 RMSE: 19.52
Df Residuals: 1153 MAE: 14.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.4936 1.6629 0.001 32.2208 38.7607
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.864
No. Observations: 99 RMSE: 19.73
Df Residuals: 97 MAE: 16.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.7572 7.3986 0.001 37.5205 65.8323
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.831
Model: NNLS Adj. R-squared: 0.831
No. Observations: 3652 RMSE: 47.39
Df Residuals: 3650 MAE: 38.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 107.4560 2.4447 0.001 102.3448 112.1026
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.904
No. Observations: 231 RMSE: 26.73
Df Residuals: 229 MAE: 23.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.5952 5.7405 0.001 17.2735 39.1526
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.837
Model: NNLS Adj. R-squared: 0.837
No. Observations: 1562 RMSE: 27.07
Df Residuals: 1560 MAE: 22.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 61.2844 2.7019 0.001 55.8850 66.6120
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.838
Model: NNLS Adj. R-squared: 0.838
No. Observations: 4092 RMSE: 32.71
Df Residuals: 4090 MAE: 27.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.9402 1.9049 0.001 67.0255 74.9205
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.930
Model: NNLS Adj. R-squared: 0.930
No. Observations: 1155 RMSE: 16.44
Df Residuals: 1153 MAE: 13.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.5232 1.3988 0.001 30.8839 36.2306
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.856
No. Observations: 99 RMSE: 17.27
Df Residuals: 97 MAE: 14.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.7360 6.8612 0.001 26.9693 54.2698
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.848
No. Observations: 3652 RMSE: 68.07
Df Residuals: 3650 MAE: 57.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 154.8030 3.7485 0.001 147.5404 162.1317
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.887
Model: NNLS Adj. R-squared: 0.887
No. Observations: 231 RMSE: 41.96
Df Residuals: 229 MAE: 36.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.7394 9.6813 0.001 27.6897 65.4034
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 1562 RMSE: 46.83
Df Residuals: 1560 MAE: 39.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.4392 4.4549 0.001 93.6398 110.8514
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.836
No. Observations: 4092 RMSE: 47.60
Df Residuals: 4090 MAE: 40.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.3542 2.7265 0.001 94.9464 105.4237
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.908
No. Observations: 1155 RMSE: 47.98
Df Residuals: 1153 MAE: 37.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 84.1258 4.1922 0.001 75.7796 92.1472
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.852
No. Observations: 99 RMSE: 31.45
Df Residuals: 97 MAE: 25.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.1284 11.5187 0.001 66.1461 112.1967
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.766
Model: NNLS Adj. R-squared: 0.766
No. Observations: 14608 RMSE: 85.33
Df Residuals: 14605 MAE: 71.14
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 140.5054 2.3213 0.001 135.9759 144.9773
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.808
No. Observations: 924 RMSE: 64.05
Df Residuals: 921 MAE: 49.88
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.6597 6.3445 0.001 26.6551 51.3674
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.656
Model: NNLS Adj. R-squared: 0.656
No. Observations: 6248 RMSE: 91.87
Df Residuals: 6245 MAE: 75.93
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.8305 3.3412 0.001 57.1098 70.1756
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.789
Model: NNLS Adj. R-squared: 0.789
No. Observations: 16368 RMSE: 63.56
Df Residuals: 16365 MAE: 51.65
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 101.8034 1.6000 0.001 98.4177 104.7050
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.698
Model: NNLS Adj. R-squared: 0.698
No. Observations: 4620 RMSE: 158.87
Df Residuals: 4617 MAE: 130.27
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 90.0434 6.9984 0.001 77.1524 103.8655
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.559
Model: NNLS Adj. R-squared: 0.557
No. Observations: 396 RMSE: 106.66
Df Residuals: 393 MAE: 85.96
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 61.0340 15.9476 0.001 28.4883 92.7944
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.784
Model: NNLS Adj. R-squared: 0.784
No. Observations: 14608 RMSE: 86.51
Df Residuals: 14605 MAE: 71.33
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 132.6644 2.3422 0.001 127.8051 137.1040
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.826
No. Observations: 924 RMSE: 59.88
Df Residuals: 921 MAE: 48.35
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.4858 6.2113 0.001 28.0829 52.0117
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.656
Model: NNLS Adj. R-squared: 0.656
No. Observations: 6248 RMSE: 92.02
Df Residuals: 6245 MAE: 76.08
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.0297 3.4903 0.001 56.5041 69.8949
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.794
Model: NNLS Adj. R-squared: 0.794
No. Observations: 16368 RMSE: 62.78
Df Residuals: 16365 MAE: 51.24
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 98.3861 1.6552 0.001 95.0853 101.6429
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.701
Model: NNLS Adj. R-squared: 0.700
No. Observations: 4620 RMSE: 158.37
Df Residuals: 4617 MAE: 129.51
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 86.8001 6.8432 0.001 72.9895 100.1890
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.570
Model: NNLS Adj. R-squared: 0.568
No. Observations: 396 RMSE: 106.37
Df Residuals: 393 MAE: 85.33
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 58.1366 16.2160 0.001 25.6331 88.6644
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.780
Model: NNLS Adj. R-squared: 0.780
No. Observations: 14608 RMSE: 88.97
Df Residuals: 14605 MAE: 73.33
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 129.1090 2.3482 0.001 124.8571 133.7915
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.814
No. Observations: 924 RMSE: 61.55
Df Residuals: 921 MAE: 49.34
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.0322 6.3195 0.001 32.6658 58.4800
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.656
Model: NNLS Adj. R-squared: 0.656
No. Observations: 6248 RMSE: 91.89
Df Residuals: 6245 MAE: 75.85
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.6232 3.2391 0.001 56.5885 69.0111
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 16368 RMSE: 62.85
Df Residuals: 16365 MAE: 50.96
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 99.7643 1.6299 0.001 96.6401 102.8870
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.699
Model: NNLS Adj. R-squared: 0.699
No. Observations: 4620 RMSE: 158.40
Df Residuals: 4617 MAE: 129.58
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 87.8619 6.5439 0.001 75.0825 100.8425
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.561
Model: NNLS Adj. R-squared: 0.558
No. Observations: 396 RMSE: 106.64
Df Residuals: 393 MAE: 85.88
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.8467 15.4798 0.001 27.8576 88.8289
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.761
Model: NNLS Adj. R-squared: 0.761
No. Observations: 14608 RMSE: 87.97
Df Residuals: 14605 MAE: 73.55
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 152.3981 2.4343 0.001 147.6067 157.3849
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.823
Model: NNLS Adj. R-squared: 0.822
No. Observations: 924 RMSE: 59.80
Df Residuals: 921 MAE: 48.80
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.7774 6.0713 0.001 32.7908 55.8971
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.655
Model: NNLS Adj. R-squared: 0.655
No. Observations: 6248 RMSE: 92.09
Df Residuals: 6245 MAE: 76.07
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.4598 3.4548 0.001 56.4330 70.1921
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 16368 RMSE: 63.06
Df Residuals: 16365 MAE: 51.79
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 98.2611 1.6387 0.001 95.1424 101.4627
opcount 0.0001 0.0000 0.001 0.0001 0.0001
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.699
Model: NNLS Adj. R-squared: 0.699
No. Observations: 4620 RMSE: 158.51
Df Residuals: 4617 MAE: 130.02
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.4085 6.8927 0.001 74.9642 102.9367
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.565
Model: NNLS Adj. R-squared: 0.562
No. Observations: 396 RMSE: 106.18
Df Residuals: 393 MAE: 85.13
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.0521 15.0854 0.001 33.3584 93.2852
opcount 0.0000 0.0000 0.001 0.0000 0.0000
msg_words 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.885
Model: NNLS Adj. R-squared: 0.885
No. Observations: 3652 RMSE: 48.76
Df Residuals: 3650 MAE: 41.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 144.1879 2.7858 0.001 138.8795 149.7463
opcount 0.0067 0.0000 0.001 0.0066 0.0068
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.825
No. Observations: 231 RMSE: 77.79
Df Residuals: 229 MAE: 50.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 88.2901 22.6796 0.001 47.9486 132.7997
opcount 0.0084 0.0003 0.001 0.0078 0.0089
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.821
Model: NNLS Adj. R-squared: 0.821
No. Observations: 1562 RMSE: 58.76
Df Residuals: 1560 MAE: 50.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 129.8668 5.6566 0.001 119.4284 141.5329
opcount 0.0062 0.0001 0.001 0.0061 0.0064
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.881
No. Observations: 4092 RMSE: 57.88
Df Residuals: 4090 MAE: 49.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 115.3869 3.1047 0.001 109.5404 121.2017
opcount 0.0078 0.0000 0.001 0.0077 0.0079
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.877
No. Observations: 1155 RMSE: 52.09
Df Residuals: 1153 MAE: 43.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.8759 5.9971 0.001 90.7031 114.2329
opcount 0.0069 0.0001 0.001 0.0067 0.0071
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.834
No. Observations: 99 RMSE: 58.53
Df Residuals: 97 MAE: 48.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 121.0467 23.1192 0.001 76.5813 167.6927
opcount 0.0065 0.0003 0.001 0.0059 0.0072
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 14608 RMSE: 68.62
Df Residuals: 14605 MAE: 58.14
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 164.7682 2.1811 0.001 160.6268 169.1850
opcount 0.0003 0.0000 0.001 0.0003 0.0003
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.954
Model: NNLS Adj. R-squared: 0.954
No. Observations: 924 RMSE: 65.82
Df Residuals: 921 MAE: 47.74
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.3210 6.8763 0.006 4.8943 31.6851
opcount 0.0006 0.0000 0.001 0.0006 0.0006
num_rounds 0.0000 0.0000 0.008 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.872
Model: NNLS Adj. R-squared: 0.872
No. Observations: 6248 RMSE: 14.26
Df Residuals: 6245 MAE: 11.57
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.2348 0.6540 0.001 26.8982 29.4346
opcount 0.0000 0.0000 0.001 0.0000 0.0000
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.930
Model: NNLS Adj. R-squared: 0.930
No. Observations: 16368 RMSE: 17.30
Df Residuals: 16365 MAE: 13.85
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.8823 0.4928 0.001 33.9108 35.8480
opcount 0.0001 0.0000 0.001 0.0001 0.0001
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.952
No. Observations: 4620 RMSE: 18.92
Df Residuals: 4617 MAE: 15.48
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.8549 0.7941 0.001 27.1293 30.3438
opcount 0.0002 0.0000 0.001 0.0002 0.0002
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.989
No. Observations: 396 RMSE: 19.75
Df Residuals: 393 MAE: 15.67
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.6857 3.0888 0.001 5.5188 17.8405
opcount 0.0004 0.0000 0.001 0.0004 0.0004
num_rounds 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.853
No. Observations: 14608 RMSE: 71.68
Df Residuals: 14605 MAE: 60.58
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 156.0843 2.1709 0.001 151.6979 160.3488
opcount 0.0004 0.0000 0.001 0.0004 0.0004
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.960
Model: NNLS Adj. R-squared: 0.960
No. Observations: 924 RMSE: 78.79
Df Residuals: 921 MAE: 57.78
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.1798 8.3910 0.001 32.0294 64.6495
opcount 0.0009 0.0000 0.001 0.0009 0.0009
num_rounds 0.0000 0.0000 0.198 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 6248 RMSE: 12.77
Df Residuals: 6245 MAE: 10.39
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.9197 0.5441 0.001 22.9303 25.0477
opcount 0.0001 0.0000 0.001 0.0001 0.0001
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.923
Model: NNLS Adj. R-squared: 0.923
No. Observations: 16368 RMSE: 18.47
Df Residuals: 16365 MAE: 14.56
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.9269 0.5474 0.001 22.8235 24.9216
opcount 0.0001 0.0000 0.001 0.0001 0.0001
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.932
No. Observations: 4620 RMSE: 19.86
Df Residuals: 4617 MAE: 14.32
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.5344 0.7865 0.001 24.9812 28.0668
opcount 0.0002 0.0000 0.001 0.0002 0.0002
num_rounds 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.987
No. Observations: 396 RMSE: 17.44
Df Residuals: 393 MAE: 14.04
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.4682 2.6589 0.001 11.4694 21.9744
opcount 0.0004 0.0000 0.001 0.0004 0.0004
num_rounds 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.857
Model: NNLS Adj. R-squared: 0.857
No. Observations: 3652 RMSE: 91.12
Df Residuals: 3650 MAE: 72.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 99.2794 5.7564 0.001 87.7412 109.8290
opcount 0.0017 0.0000 0.001 0.0017 0.0018
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.831
No. Observations: 231 RMSE: 57.34
Df Residuals: 229 MAE: 37.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.8068 9.0191 0.001 28.7509 62.9708
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.053
Model: NNLS Adj. R-squared: 0.053
No. Observations: 1562 RMSE: 1270.62
Df Residuals: 1560 MAE: 1146.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 291.7258 88.5341 0.001 130.9252 475.9325
opcount 0.0024 0.0002 0.001 0.0019 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.900
Model: NNLS Adj. R-squared: 0.900
No. Observations: 4092 RMSE: 31.30
Df Residuals: 4090 MAE: 26.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 65.1685 1.9124 0.001 61.5192 68.8799
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.939
Model: NNLS Adj. R-squared: 0.939
No. Observations: 1155 RMSE: 31.72
Df Residuals: 1153 MAE: 25.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.5374 2.8442 0.001 71.2104 81.9459
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.852
No. Observations: 99 RMSE: 40.20
Df Residuals: 97 MAE: 34.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 90.0398 16.2699 0.001 58.7032 123.1038
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 3652 RMSE: 72.58
Df Residuals: 3650 MAE: 58.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 88.8408 4.3018 0.001 80.6795 97.4124
opcount 0.0021 0.0000 0.001 0.0021 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.799
Model: NNLS Adj. R-squared: 0.798
No. Observations: 231 RMSE: 56.23
Df Residuals: 229 MAE: 35.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.8842 7.7871 0.001 26.9727 57.5737
opcount 0.0013 0.0000 0.001 0.0012 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.069
Model: NNLS Adj. R-squared: 0.068
No. Observations: 1562 RMSE: 895.80
Df Residuals: 1560 MAE: 806.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 238.3055 63.7407 0.001 113.8707 359.9967
opcount 0.0028 0.0003 0.001 0.0023 0.0033
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.899
No. Observations: 4092 RMSE: 30.91
Df Residuals: 4090 MAE: 25.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.4126 1.7924 0.001 52.1050 59.1439
opcount 0.0010 0.0000 0.001 0.0010 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.936
Model: NNLS Adj. R-squared: 0.936
No. Observations: 1155 RMSE: 34.27
Df Residuals: 1153 MAE: 27.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.3407 3.1555 0.001 77.2736 89.9864
opcount 0.0015 0.0000 0.001 0.0015 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.844
No. Observations: 99 RMSE: 38.10
Df Residuals: 97 MAE: 31.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.4848 14.6671 0.001 72.5037 128.0705
opcount 0.0010 0.0000 0.001 0.0009 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.886
No. Observations: 3652 RMSE: 52.48
Df Residuals: 3650 MAE: 44.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 150.8838 3.0729 0.001 144.8091 156.7965
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.929
Model: NNLS Adj. R-squared: 0.929
No. Observations: 231 RMSE: 46.66
Df Residuals: 229 MAE: 39.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.2780 9.7649 0.001 24.3394 62.1269
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 1562 RMSE: 62.30
Df Residuals: 1560 MAE: 53.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 135.5485 5.9133 0.001 124.4990 147.6392
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.880
No. Observations: 4092 RMSE: 33.75
Df Residuals: 4090 MAE: 29.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 80.5519 1.8602 0.001 76.8046 84.2295
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.917
Model: NNLS Adj. R-squared: 0.917
No. Observations: 1155 RMSE: 31.15
Df Residuals: 1153 MAE: 24.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 77.1826 2.9073 0.001 71.7735 82.8734
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 99 RMSE: 54.42
Df Residuals: 97 MAE: 45.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 133.0129 20.8191 0.001 93.7482 175.6213
opcount 0.0006 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.891
No. Observations: 3652 RMSE: 30.17
Df Residuals: 3650 MAE: 25.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 77.9570 1.7896 0.001 74.3824 81.5722
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.922
Model: NNLS Adj. R-squared: 0.922
No. Observations: 231 RMSE: 39.29
Df Residuals: 229 MAE: 22.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.8254 6.1519 0.001 9.9337 34.5979
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.842
Model: NNLS Adj. R-squared: 0.842
No. Observations: 1562 RMSE: 14.29
Df Residuals: 1560 MAE: 11.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.8071 1.3489 0.001 24.0496 29.4687
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.789
Model: NNLS Adj. R-squared: 0.789
No. Observations: 4092 RMSE: 13.37
Df Residuals: 4090 MAE: 10.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6609 0.7561 0.001 11.1456 14.1698
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.918
No. Observations: 1155 RMSE: 14.13
Df Residuals: 1153 MAE: 9.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.8542 1.0544 0.001 13.8584 18.0041
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.987
Model: NNLS Adj. R-squared: 0.987
No. Observations: 99 RMSE: 10.31
Df Residuals: 97 MAE: 8.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.5468 3.4866 0.016 0.6702 14.2900
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.886
No. Observations: 3652 RMSE: 32.41
Df Residuals: 3650 MAE: 27.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.2912 2.0447 0.001 79.3887 87.2641
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.841
No. Observations: 231 RMSE: 59.28
Df Residuals: 229 MAE: 30.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.0079 8.9798 0.001 14.2142 49.6547
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.841
No. Observations: 1562 RMSE: 20.51
Df Residuals: 1560 MAE: 17.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.6268 2.0144 0.001 42.5562 50.3677
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.874
Model: NNLS Adj. R-squared: 0.874
No. Observations: 4092 RMSE: 15.14
Df Residuals: 4090 MAE: 11.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.3043 0.9280 0.001 15.4778 19.1064
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.909
Model: NNLS Adj. R-squared: 0.909
No. Observations: 1155 RMSE: 19.92
Df Residuals: 1153 MAE: 13.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.2692 1.9039 0.001 23.6578 31.3559
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 99 RMSE: 12.67
Df Residuals: 97 MAE: 10.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.1619 3.7891 0.001 17.4157 33.0829
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.882
No. Observations: 3652 RMSE: 56.38
Df Residuals: 3650 MAE: 48.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 127.4271 3.6120 0.001 120.5506 134.6351
opcount 0.0007 0.0000 0.001 0.0006 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.854
No. Observations: 231 RMSE: 69.17
Df Residuals: 229 MAE: 47.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.4303 12.7229 0.001 32.2733 81.4497
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.827
No. Observations: 1562 RMSE: 63.25
Df Residuals: 1560 MAE: 54.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 133.9596 6.1786 0.001 121.4385 145.6927
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.879
Model: NNLS Adj. R-squared: 0.879
No. Observations: 4092 RMSE: 35.33
Df Residuals: 4090 MAE: 30.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 73.5763 2.1589 0.001 69.5622 77.9952
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.928
Model: NNLS Adj. R-squared: 0.928
No. Observations: 1155 RMSE: 30.89
Df Residuals: 1153 MAE: 23.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.6767 2.9087 0.001 43.4690 54.5675
opcount 0.0005 0.0000 0.001 0.0005 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.858
No. Observations: 99 RMSE: 58.07
Df Residuals: 97 MAE: 48.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 122.7038 22.3725 0.001 79.8058 165.7491
opcount 0.0006 0.0000 0.001 0.0006 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.878
No. Observations: 3652 RMSE: 71.68
Df Residuals: 3650 MAE: 61.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 174.2594 4.4282 0.001 165.7715 183.1917
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.935
Model: NNLS Adj. R-squared: 0.935
No. Observations: 231 RMSE: 60.38
Df Residuals: 229 MAE: 51.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 66.8205 13.5799 0.001 41.2421 94.5023
opcount 0.0011 0.0000 0.001 0.0010 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.816
Model: NNLS Adj. R-squared: 0.815
No. Observations: 1562 RMSE: 92.02
Df Residuals: 1560 MAE: 79.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 187.1750 8.7550 0.001 169.4688 203.0392
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.861
No. Observations: 4092 RMSE: 51.82
Df Residuals: 4090 MAE: 44.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 107.3041 2.8717 0.001 101.4869 112.8098
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.944
Model: NNLS Adj. R-squared: 0.944
No. Observations: 1155 RMSE: 39.51
Df Residuals: 1153 MAE: 31.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 69.6953 3.5700 0.001 62.6180 76.5260
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.835
No. Observations: 99 RMSE: 90.79
Df Residuals: 97 MAE: 77.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 186.4975 34.3214 0.001 121.1542 255.6964
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.881
No. Observations: 18260 RMSE: 20.24
Df Residuals: 18257 MAE: 17.12
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.6567 0.5637 0.001 51.5698 53.6996
opcount 0.0459 0.0002 0.001 0.0456 0.0463
num_pairs 0.0262 0.0001 0.001 0.0261 0.0264
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.778
Model: NNLS Adj. R-squared: 0.777
No. Observations: 1155 RMSE: 33.01
Df Residuals: 1152 MAE: 18.84
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.8384 4.5749 0.001 19.0346 36.6277
opcount 0.0502 0.0011 0.001 0.0482 0.0523
num_pairs 0.0296 0.0007 0.001 0.0282 0.0310
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.812
Model: NNLS Adj. R-squared: 0.812
No. Observations: 7810 RMSE: 53.66
Df Residuals: 7807 MAE: 44.95
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 110.6409 2.2159 0.001 106.2160 115.0076
opcount 0.0476 0.0007 0.001 0.0463 0.0489
num_pairs 0.0589 0.0003 0.001 0.0582 0.0596
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.818
No. Observations: 20460 RMSE: 25.91
Df Residuals: 20457 MAE: 21.70
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.7877 0.7042 0.001 51.4742 54.1403
opcount 0.0443 0.0002 0.001 0.0439 0.0447
num_pairs 0.0265 0.0001 0.001 0.0263 0.0267
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.934
Model: NNLS Adj. R-squared: 0.934
No. Observations: 5775 RMSE: 51.37
Df Residuals: 5772 MAE: 40.46
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.8147 2.0977 0.001 75.7109 83.9170
opcount 0.0664 0.0007 0.001 0.0651 0.0677
num_pairs 0.1023 0.0004 0.001 0.1015 0.1030
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.817
No. Observations: 495 RMSE: 51.84
Df Residuals: 492 MAE: 43.05
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 112.0218 8.0009 0.001 96.5744 126.9719
opcount 0.0469 0.0023 0.001 0.0426 0.0516
num_pairs 0.0580 0.0013 0.001 0.0555 0.0605
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.908
No. Observations: 18260 RMSE: 19.20
Df Residuals: 18257 MAE: 15.99
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.7129 0.5245 0.001 42.7546 44.8030
opcount 0.0511 0.0002 0.001 0.0507 0.0514
num_pairs 0.0331 0.0001 0.001 0.0329 0.0333
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.890
Model: NNLS Adj. R-squared: 0.889
No. Observations: 1155 RMSE: 23.52
Df Residuals: 1152 MAE: 15.58
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.6623 1.6627 0.001 21.4796 28.1117
opcount 0.0475 0.0006 0.001 0.0462 0.0485
num_pairs 0.0399 0.0003 0.001 0.0393 0.0404
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 7810 RMSE: 47.43
Df Residuals: 7807 MAE: 40.36
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 111.7478 2.0122 0.001 108.1361 115.7305
opcount 0.0818 0.0006 0.001 0.0806 0.0830
num_pairs 0.0616 0.0004 0.001 0.0609 0.0623
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.867
No. Observations: 20460 RMSE: 25.09
Df Residuals: 20457 MAE: 20.83
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.4421 0.6339 0.001 49.2719 51.7259
opcount 0.0413 0.0002 0.001 0.0409 0.0417
num_pairs 0.0392 0.0001 0.001 0.0389 0.0394
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.947
Model: NNLS Adj. R-squared: 0.947
No. Observations: 5775 RMSE: 43.15
Df Residuals: 5772 MAE: 34.69
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.6568 1.7660 0.001 69.3939 76.1020
opcount 0.0528 0.0006 0.001 0.0515 0.0540
num_pairs 0.1171 0.0004 0.001 0.1164 0.1179
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.839
No. Observations: 495 RMSE: 46.22
Df Residuals: 492 MAE: 38.57
Df Model: 2
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 105.5209 7.4806 0.001 91.2479 120.5613
opcount 0.0825 0.0024 0.001 0.0778 0.0873
num_pairs 0.0608 0.0013 0.001 0.0582 0.0634
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.875
Model: NNLS Adj. R-squared: 0.875
No. Observations: 3652 RMSE: 82.74
Df Residuals: 3650 MAE: 64.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 420.1928 6.0176 0.001 408.0318 430.9260
opcount 0.1731 0.0014 0.001 0.1706 0.1758
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.899
No. Observations: 231 RMSE: 75.65
Df Residuals: 229 MAE: 67.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 68.6243 15.9205 0.001 40.1323 100.4102
opcount 0.1785 0.0036 0.001 0.1711 0.1852
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.813
No. Observations: 1562 RMSE: 143.32
Df Residuals: 1560 MAE: 123.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 294.7115 13.6918 0.001 267.0669 319.7219
opcount 0.2363 0.0030 0.001 0.2308 0.2426
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.829
Model: NNLS Adj. R-squared: 0.829
No. Observations: 4092 RMSE: 113.88
Df Residuals: 4090 MAE: 96.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 230.6663 6.5759 0.001 218.3207 243.6019
opcount 0.1979 0.0015 0.001 0.1951 0.2007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.877
No. Observations: 1155 RMSE: 102.35
Df Residuals: 1153 MAE: 84.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 199.3761 11.6006 0.001 177.2871 222.5617
opcount 0.2157 0.0028 0.001 0.2104 0.2211
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.838
No. Observations: 99 RMSE: 109.44
Df Residuals: 97 MAE: 94.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 224.9285 41.7326 0.001 149.6991 313.9231
opcount 0.1978 0.0093 0.001 0.1799 0.2152
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.876
Model: NNLS Adj. R-squared: 0.876
No. Observations: 3652 RMSE: 92.88
Df Residuals: 3650 MAE: 78.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 219.7217 5.7999 0.001 208.5187 230.9829
opcount 0.2084 0.0014 0.001 0.2056 0.2111
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.894
No. Observations: 231 RMSE: 78.86
Df Residuals: 229 MAE: 68.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 68.8348 15.9512 0.001 40.1171 100.2995
opcount 0.1942 0.0038 0.001 0.1867 0.2014
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.815
No. Observations: 1562 RMSE: 134.41
Df Residuals: 1560 MAE: 116.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 283.8455 12.4008 0.001 258.9834 306.7242
opcount 0.2382 0.0029 0.001 0.2325 0.2440
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.841
No. Observations: 4092 RMSE: 99.10
Df Residuals: 4090 MAE: 83.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 194.9613 5.7962 0.001 183.3327 206.3370
opcount 0.1922 0.0014 0.001 0.1895 0.1950
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.863
No. Observations: 1155 RMSE: 110.45
Df Residuals: 1153 MAE: 85.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 149.7763 11.4816 0.001 128.3096 172.7554
opcount 0.2340 0.0032 0.001 0.2277 0.2399
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.834
No. Observations: 99 RMSE: 103.29
Df Residuals: 97 MAE: 86.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 225.5452 39.6374 0.001 152.3949 305.7742
opcount 0.1966 0.0094 0.001 0.1780 0.2139
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 3652 RMSE: 29.21
Df Residuals: 3650 MAE: 24.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 77.0097 1.7077 0.001 73.4044 80.1343
opcount 0.0083 0.0001 0.001 0.0082 0.0084
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.836
No. Observations: 231 RMSE: 55.98
Df Residuals: 229 MAE: 39.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.3381 9.8136 0.001 31.0747 68.6145
opcount 0.0140 0.0003 0.001 0.0134 0.0146
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.810
No. Observations: 1562 RMSE: 165.56
Df Residuals: 1560 MAE: 142.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 336.2904 16.1013 0.001 305.4215 366.6415
opcount 0.0380 0.0005 0.001 0.0371 0.0390
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.827
No. Observations: 4092 RMSE: 48.18
Df Residuals: 4090 MAE: 40.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 95.6695 2.8780 0.001 90.0300 101.2115
opcount 0.0117 0.0001 0.001 0.0115 0.0119
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.881
No. Observations: 1155 RMSE: 28.35
Df Residuals: 1153 MAE: 23.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.2739 3.1631 0.001 53.3594 65.6267
opcount 0.0086 0.0001 0.001 0.0084 0.0088
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.841
No. Observations: 99 RMSE: 32.78
Df Residuals: 97 MAE: 27.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.0968 12.8506 0.001 38.1110 89.1053
opcount 0.0084 0.0004 0.001 0.0076 0.0092
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
besu — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.910
Model: NNLS Adj. R-squared: 0.910
No. Observations: 3652 RMSE: 30.74
Df Residuals: 3650 MAE: 26.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.3016 1.7245 0.001 21.7949 28.6537
opcount 0.0109 0.0001 0.001 0.0108 0.0110
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
erigon — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.811
No. Observations: 231 RMSE: 60.84
Df Residuals: 229 MAE: 39.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.7319 14.6554 0.001 25.3822 81.0316
opcount 0.0141 0.0005 0.001 0.0131 0.0150
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
ethrex — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.810
No. Observations: 1562 RMSE: 164.99
Df Residuals: 1560 MAE: 142.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 332.7567 15.8105 0.001 302.9333 362.8966
opcount 0.0381 0.0005 0.001 0.0372 0.0391
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
geth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.825
Model: NNLS Adj. R-squared: 0.825
No. Observations: 4092 RMSE: 48.70
Df Residuals: 4090 MAE: 40.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.7969 2.7667 0.001 87.4152 97.9833
opcount 0.0118 0.0001 0.001 0.0117 0.0120
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
nethermind — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.884
Model: NNLS Adj. R-squared: 0.883
No. Observations: 1155 RMSE: 28.40
Df Residuals: 1153 MAE: 23.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 57.0388 3.2838 0.001 50.2955 63.5019
opcount 0.0087 0.0001 0.001 0.0085 0.0090
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```
reth — NNLS regression summary
```
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.864
No. Observations: 99 RMSE: 29.65
Df Residuals: 97 MAE: 24.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 69.2118 11.7461 0.001 47.1850 91.9381
opcount 0.0084 0.0004 0.001 0.0077 0.0091
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
```