Symbolic Regression on Stress-Strain
88.28Accuracy @ 0.1STRIDE
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| STRIDEBackbone=GPT-5.12026.05 | 88.28 | 1.25 | 0.0182 | |
| STRIDEBackbone=Claude-3-Haiku2026.05 | 85.64 | 2.43 | 0.0155 | |
| LLM-SRBackbone=GPT-5.12026.05 | 84.19 | 2.43 | 0.0192 | |
| PySRBackbone=None2026.05 | 83.36 | 3.74 | 0.0214 | |
| LaSRBackbone=Claude-3-Haiku2026.05 | 80.24 | 2.57 | 0.0205 | |
| DrSRBackbone=GPT-5.12026.05 | 77.18 | 0.69 | 0.0274 | |
| LLM-SRBackbone=Claude-3-Haiku2026.05 | 77.05 | 1.32 | 0.0262 | |
| LaSRBackbone=GPT-5.12026.05 | 75.52 | 6.31 | 0.0357 | |
| SR-LLMBackbone=Claude-3-Haiku2026.05 | 73.86 | 1.73 | 0.0484 | |
| DrSRBackbone=Claude-3-Haiku2026.05 | 66.92 | 0.49 | 0.0716 | |
| SR-LLMBackbone=GPT-5.12026.05 | 62.83 | 0.69 | 0.0791 | |
| GPlearnBackbone=None2026.05 | 35.92 | 0.14 | 0.368 | |
| DSRBackbone=None2026.05 | 20.53 | 0.21 | 0.35 | |
| uDSRBackbone=None2026.05 | 7.14 | 0 | 0.337 |