Symbolic Regression on SRBench Black-box
0.945R^2TPSR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TPSRlambda=0.12023.03 | 0.945 | 95.71 | |
| TPSRlambda=02023.03 | 0.938 | 129.85 | |
| GESR2026.05 | 0.9364 | 23.7 | |
| TPSRlambda=0.52023.03 | 0.931 | 82.58 | |
| TPSRlambda=12023.03 | 0.924 | 79.43 | |
| TPSR2024.06 | 0.9103 | 59.1 | |
| PYSR2026.05 | 0.9037 | 38.3 | |
| MMSR2024.06 | 0.9037 | 24.2 | |
| NGGP2026.05 | 0.9033 | 32.9 | |
| SNIP2026.05 | 0.8984 | 24.9 | |
| ChatSR2024.06 | 0.8921 | 18.9 | |
| GPlearn2026.05 | 0.8738 | 39.2 | |
| SNIP2024.06 | 0.8692 | 29.2 | |
| E2EDecoding Strategy=Sampling2023.03 | 0.864 | 82.78 | |
| E2EDecoding Strategy=Beam2023.03 | 0.847 | 83.61 | |
| NeSymRes2024.06 | 0.6684 | 34.1 |