Symbolic Regression on SRBench Feynman
0.9946R^2 ScoreGESR
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GESR2026.05 | 0.9946 | 17.2 | — | |
| ChatSR2024.06 | 0.991 | — | 16.4 | |
| PYSR2026.05 | 0.9893 | 25.6 | — | |
| MMSR2024.06 | 0.9874 | — | 22.4 | |
| SNIP2026.05 | 0.9814 | 24.3 | — | |
| NGGP2026.05 | 0.971 | 24.1 | — | |
| TPSRlambda=02023.03 | 0.952 | 84.42 | — | |
| TPSRlambda=0.12023.03 | 0.949 | 57.22 | — | |
| TPSRlambda=0.52023.03 | 0.924 | 50.01 | — | |
| TPSRlambda=12023.03 | 0.916 | 47.24 | — | |
| GPlearn2026.05 | 0.9025 | 27.6 | — | |
| TPSR2024.06 | 0.9025 | — | 47.2 | |
| SNIP2024.06 | 0.8899 | — | 21.1 | |
| E2EDecoding Strategy=Sampling2023.03 | 0.848 | 50.73 | — | |
| E2EDecoding Strategy=Beam2023.03 | 0.815 | 54.19 | — | |
| NeSymRes2024.06 | 0.7214 | — | 21.2 |