Symbolic Regression on Strogatz Dataset epsilon=0.1 (test)
97.73R2GenSR
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GenSRnoise_level=0.12026.02 | 97.73 | 257.64 | 20.21 | |
| TPSRnoise_level=0.12026.02 | 97.07 | 159.1 | 56.28 | |
| RAG-SRnoise_level=0.12026.02 | 96.93 | 385.3 | 46.23 | |
| MDLnoise_level=0.12026.02 | 96.86 | 522 | 20.5 | |
| GP-GOMEAnoise_level=0.12026.02 | 96.68 | 402.9 | 43.71 | |
| AFP-FEnoise_level=0.12026.02 | 94.96 | 10,082 | 50.96 | |
| Operonnoise_level=0.12026.02 | 93.8 | 97.13 | 83.44 | |
| SBP-GPnoise_level=0.12026.02 | 93.23 | 21,886 | 901.2 | |
| FEATnoise_level=0.12026.02 | 92.28 | 446.9 | 84.2 | |
| SNIPnoise_level=0.12026.02 | 91.87 | 5,650.7 | 39.35 | |
| AFPnoise_level=0.12026.02 | 91.1 | 161.4 | 44.44 | |
| EPLEXnoise_level=0.12026.02 | 88.22 | 405.8 | 53.46 | |
| GPlearnnoise_level=0.12026.02 | 82.28 | 894.6 | 25.84 | |
| DSRnoise_level=0.12026.02 | 80.86 | 500 | 18.51 | |
| SPLnoise_level=0.12026.02 | 77.15 | 355.3 | 13.91 | |
| BSRnoise_level=0.12026.02 | 71.9 | 23,292 | 49.54 | |
| RSRMnoise_level=0.12026.02 | 55.53 | 138.3 | 13.54 | |
| E2ESRnoise_level=0.12026.02 | 51.52 | 5.621 | 38.49 | |
| NeurSRnoise_level=0.12026.02 | 50.54 | 17.47 | 12.74 | |
| AIFeynman2noise_level=0.12026.02 | 31.7 | 65.97 | 23.53 |