Symbolic Regression on Feynman Dataset epsilon=0.1 (test)
0.9957R2 ScoreGP-GOMEA
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GP-GOMEAnoise_level=0.12026.02 | 0.9957 | 3,186 | 46.43 | |
| SNIPnoise_level=0.12026.02 | 0.9917 | 6,514.8 | 37.71 | |
| SBP-GPnoise_level=0.12026.02 | 0.9905 | 28,932 | 621.9 | |
| EPLEXnoise_level=0.12026.02 | 0.9901 | 10,283 | 45.62 | |
| GenSRnoise_level=0.12026.02 | 0.9886 | 618.9 | 23.62 | |
| RAG-SRnoise_level=0.12026.02 | 0.9849 | 2,957 | 75.12 | |
| Operonnoise_level=0.12026.02 | 0.9847 | 3,090 | 89.23 | |
| TPSRnoise_level=0.12026.02 | 0.9836 | 184.01 | 66.96 | |
| AFP-FEnoise_level=0.12026.02 | 0.9826 | 28,812 | 48.87 | |
| AFPnoise_level=0.12026.02 | 0.9577 | 3,886 | 40.79 | |
| FEATnoise_level=0.12026.02 | 0.9195 | 777.9 | 99.48 | |
| MDLnoise_level=0.12026.02 | 0.9097 | 962.9 | 30.86 | |
| GPlearnnoise_level=0.12026.02 | 0.8911 | 2,938 | 48.83 | |
| DSRnoise_level=0.12026.02 | 0.8779 | 814.9 | 16.03 | |
| RSRMnoise_level=0.12026.02 | 0.8104 | 133.8 | 12.81 | |
| E2ESRnoise_level=0.12026.02 | 0.7714 | 6.183 | 44.09 | |
| SPLnoise_level=0.12026.02 | 0.7109 | 270 | 13.54 | |
| BSRnoise_level=0.12026.02 | 0.6567 | 32,497 | 28.77 | |
| NeurSRnoise_level=0.12026.02 | 0.3823 | 25.81 | 13.54 | |
| AIFeynman2noise_level=0.12026.02 | 0.2248 | 710.7 | 176.6 |