Symbolic Regression on HyperLorenz rho = 2% (test)
0.998R^2 (x-dot)GESR
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| GESRd=4, noise level (rho)=2%2026.05 | 0.998 | 0.997 | 0.994 | 0.996 | 0.846 | |
| PySRd=4, noise level (rho)=2%2026.05 | 0.993 | 0.994 | 0.991 | 0.993 | 0.802 | |
| SNIPd=4, noise level (rho)=2%2026.05 | 0.991 | 0.992 | 0.989 | 0.991 | 0.748 | |
| NGGPd=4, noise level (rho)=2%2026.05 | 0.99 | 0.991 | 0.988 | 0.99 | 0.731 | |
| GPlearnd=4, noise level (rho)=2%2026.05 | 0.987 | 0.986 | 0.987 | 0.987 | 0.612 |