State Reconstruction on diabetes Correlated Gaussian noise (test)
0.963MSEneural ode
Evaluation results
| Method | Links | |
|---|---|---|
| neural odeSymbolic Regression=PySR2026.01 | 0.963 | |
| MAATSymbolic Regression=SINDy2026.01 | 1.92 | |
| pinnSymbolic Regression=PySR2026.01 | 3.26 | |
| neural odeSymbolic Regression=SINDy2026.01 | 6.66 | |
| kalmanSymbolic Regression=PySR2026.01 | 10.6 | |
| MAATSymbolic Regression=PySR2026.01 | 11.2 | |
| kalmanSymbolic Regression=SINDy2026.01 | 13.5 | |
| gpSymbolic Regression=SINDy2026.01 | 17 | |
| savgolSymbolic Regression=SINDy2026.01 | 34.7 | |
| tvregSymbolic Regression=SINDy2026.01 | 34.7 | |
| linearSymbolic Regression=SINDy2026.01 | 58.7 | |
| pinnSymbolic Regression=SINDy2026.01 | 93.9 | |
| cubicSymbolic Regression=SINDy2026.01 | 116 | |
| RBFSymbolic Regression=SINDy2026.01 | 132 | |
| gpSymbolic Regression=PySR2026.01 | 279 | |
| tvregSymbolic Regression=PySR2026.01 | 807 | |
| linearSymbolic Regression=PySR2026.01 | 16,000 | |
| cubicSymbolic Regression=PySR2026.01 | 20,000 | |
| savgolSymbolic Regression=PySR2026.01 | 41,000 | |
| RBFSymbolic Regression=PySR2026.01 | 470,000,000 |