Symbolic Regression on Strogatz Dataset epsilon=0.01 (test)
0.9936R2 ScoreGenSR
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GenSRnoise level=0.012026.02 | 0.9936 | 44.58 | 20.42 | |
| RAG-SRnoise level=0.012026.02 | 0.9867 | 509 | 49.43 | |
| SNIPnoise level=0.012026.02 | 0.9844 | 237.61 | 29.35 | |
| Operonnoise level=0.012026.02 | 0.9829 | 94.92 | 81.68 | |
| SBP-GPnoise level=0.012026.02 | 0.9813 | 20,783 | 850.9 | |
| TPSRnoise level=0.012026.02 | 0.9798 | 175.09 | 56.14 | |
| GP-GOMEAnoise level=0.012026.02 | 0.9783 | 765.6 | 42.64 | |
| MDLnoise level=0.012026.02 | 0.9718 | 505.1 | 20.31 | |
| AFP-FEnoise level=0.012026.02 | 0.9582 | 8,898 | 48.8 | |
| FEATnoise level=0.012026.02 | 0.9244 | 472.9 | 95.61 | |
| AFPnoise level=0.012026.02 | 0.9153 | 152.2 | 38.62 | |
| EPLEXnoise level=0.012026.02 | 0.8562 | 437.6 | 53.07 | |
| DSRnoise level=0.012026.02 | 0.8199 | 492.9 | 18.51 | |
| BSRnoise level=0.012026.02 | 0.8127 | 23,622 | 38.74 | |
| GPlearnnoise level=0.012026.02 | 0.7956 | 907.4 | 30.59 | |
| AIFeynman2noise level=0.012026.02 | 0.7753 | 85.17 | 32.41 | |
| SPLnoise level=0.012026.02 | 0.7388 | 413.3 | 14.71 | |
| RSRMnoise level=0.012026.02 | 0.5969 | 142.2 | 14.22 | |
| NeurSRnoise level=0.012026.02 | 0.5179 | 15.48 | 11.63 | |
| E2ESRnoise level=0.012026.02 | 0.5031 | 3.392 | 35.94 |