Symbolic Regression on SRBench Strogatz (test)
0.995Mean Test R^2SNIP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SNIPNoise level (epsilon)=02026.05 | 0.995 | 29 | |
| GenSRNoise level (epsilon)=0.012026.05 | 0.994 | 20 | |
| GP-GOMEANoise level (epsilon)=02026.05 | 0.992 | 36 | |
| GenSRNoise level (epsilon)=02026.05 | 0.992 | 20 | |
| RAG-SRNoise level (epsilon)=02026.05 | 0.991 | 46 | |
| MDLNoise level (epsilon)=02026.05 | 0.99 | 14 | |
| OperonNoise level (epsilon)=02026.05 | 0.988 | 59 | |
| RAG-SRNoise level (epsilon)=0.012026.05 | 0.987 | 49 | |
| SNIPNoise level (epsilon)=0.012026.05 | 0.984 | 29 | |
| OperonNoise level (epsilon)=0.012026.05 | 0.983 | 82 | |
| SBP-GPNoise level (epsilon)=02026.05 | 0.981 | 712 | |
| SBP-GPNoise level (epsilon)=0.012026.05 | 0.981 | 851 | |
| TPSRNoise level (epsilon)=0.012026.05 | 0.98 | 56 | |
| GP-GOMEANoise level (epsilon)=0.012026.05 | 0.978 | 43 | |
| GenSRNoise level (epsilon)=0.12026.05 | 0.977 | 20 | |
| MDLNoise level (epsilon)=0.012026.05 | 0.972 | 20 | |
| TPSRNoise level (epsilon)=0.12026.05 | 0.971 | 56 | |
| MDLNoise level (epsilon)=0.12026.05 | 0.969 | 20 | |
| RAG-SRNoise level (epsilon)=0.12026.05 | 0.969 | 46 | |
| GP-GOMEANoise level (epsilon)=0.12026.05 | 0.967 | 44 | |
| TPSRNoise level (epsilon)=02026.05 | 0.965 | 56 | |
| AFP-FENoise level (epsilon)=0.012026.05 | 0.958 | 49 | |
| AFP-FENoise level (epsilon)=0.12026.05 | 0.95 | 51 | |
| AFP-FENoise level (epsilon)=02026.05 | 0.944 | 46 | |
| OperonNoise level (epsilon)=0.12026.05 | 0.938 | 83 | |
| SBP-GPNoise level (epsilon)=0.12026.05 | 0.932 | 901 | |
| AFPNoise level (epsilon)=02026.05 | 0.925 | 38 | |
| SNIPNoise level (epsilon)=0.12026.05 | 0.919 | 39 | |
| AFPNoise level (epsilon)=0.012026.05 | 0.915 | 39 | |
| AFPNoise level (epsilon)=0.12026.05 | 0.911 | 44 | |
| ITEANoise level (epsilon)=0.12026.05 | 0.91 | 15 | |
| EPLEXNoise level (epsilon)=0.12026.05 | 0.882 | 54 | |
| LEENoise level (epsilon)=0.12026.05 | 0.88 | 8.3 | |
| LEENoise level (epsilon)=0.012026.05 | 0.876 | 8.9 | |
| EPLEXNoise level (epsilon)=0.012026.05 | 0.856 | 53 | |
| LEENoise level (epsilon)=02026.05 | 0.854 | 8.1 | |
| GPlearnNoise level (epsilon)=0.12026.05 | 0.823 | 26 | |
| DSRNoise level (epsilon)=0.012026.05 | 0.82 | 18 | |
| EPLEXNoise level (epsilon)=02026.05 | 0.812 | 50 | |
| DSRNoise level (epsilon)=0.12026.05 | 0.809 | 18 | |
| GPlearnNoise level (epsilon)=0.012026.05 | 0.796 | 31 | |
| ITEANoise level (epsilon)=02026.05 | 0.792 | 11 | |
| AIFeynman2Noise level (epsilon)=0.012026.05 | 0.775 | 32 | |
| SPLNoise level (epsilon)=0.12026.05 | 0.772 | 14 | |
| GPlearnNoise level (epsilon)=02026.05 | 0.769 | 29 | |
| DSRNoise level (epsilon)=02026.05 | 0.76 | 16 | |
| SPLNoise level (epsilon)=02026.05 | 0.739 | 15 | |
| SPLNoise level (epsilon)=0.012026.05 | 0.739 | 15 | |
| AIFeynman2Noise level (epsilon)=02026.05 | 0.646 | 22 | |
| RSRMNoise level (epsilon)=0.012026.05 | 0.597 | 14 | |
| RSRMNoise level (epsilon)=0.12026.05 | 0.555 | 14 | |
| RSRMNoise level (epsilon)=02026.05 | 0.55 | 13 | |
| E2ESRNoise level (epsilon)=02026.05 | 0.534 | 32 | |
| NeurSRNoise level (epsilon)=02026.05 | 0.521 | 11 | |
| NeurSRNoise level (epsilon)=0.012026.05 | 0.518 | 12 | |
| E2ESRNoise level (epsilon)=0.12026.05 | 0.515 | 38 | |
| NeurSRNoise level (epsilon)=0.12026.05 | 0.505 | 13 | |
| E2ESRNoise level (epsilon)=0.012026.05 | 0.503 | 36 | |
| AIFeynman2Noise level (epsilon)=0.12026.05 | 0.317 | 24 |