State Reconstruction on consumer Gaussian noise (test)
3.57Full Test MSEMAAT
Evaluation results
| Method | Links | |
|---|---|---|
| MAATSymbolic Regression Tool=SINDy2026.01 | 3.57 | |
| MAATSymbolic Regression Tool=PySR2026.01 | 6.95 | |
| pinnSymbolic Regression Tool=SINDy2026.01 | 7.54 | |
| kalmanSymbolic Regression Tool=PySR2026.01 | 10.7 | |
| RBFSymbolic Regression Tool=SINDy2026.01 | 11 | |
| kalmanSymbolic Regression Tool=SINDy2026.01 | 12 | |
| pinnSymbolic Regression Tool=PySR2026.01 | 12.3 | |
| tvregSymbolic Regression Tool=PySR2026.01 | 14.8 | |
| savgolSymbolic Regression Tool=PySR2026.01 | 15.3 | |
| savgolSymbolic Regression Tool=SINDy2026.01 | 17.5 | |
| tvregSymbolic Regression Tool=SINDy2026.01 | 17.5 | |
| linearSymbolic Regression Tool=PySR2026.01 | 58.4 | |
| linearSymbolic Regression Tool=SINDy2026.01 | 59 | |
| neural_odeSymbolic Regression Tool=SINDy2026.01 | 67.7 | |
| RBFSymbolic Regression Tool=PySR2026.01 | 107 | |
| gpSymbolic Regression Tool=PySR2026.01 | 141 | |
| gpSymbolic Regression Tool=SINDy2026.01 | 173 | |
| cubicSymbolic Regression Tool=SINDy2026.01 | 175 | |
| cubicSymbolic Regression Tool=PySR2026.01 | 178 | |
| neural_odeSymbolic Regression Tool=PySR2026.01 | 1,600,000 |