Symbolic Regression on Nguyen-F9
1R^2Baseline KAN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Baseline KANArchitecture Shape=S, Threshold iota=—2025.11 | 1 | — | |
| Baseline KANArchitecture Shape=L, Threshold iota=—2025.11 | 1 | — | |
| Baseline KANArchitecture Shape=LM, Threshold iota=—2025.11 | 1 | — | |
| S2KANArchitecture Shape=S, Scaling parameter beta=0.12025.11 | 0.9999 | 100 | |
| S2KANArchitecture Shape=L, Scaling parameter beta=0.12025.11 | 0.9999 | 100 | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=0.12025.11 | 0.9999 | 50 | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=12025.11 | 0.9992 | 14 | |
| S2KANArchitecture Shape=S, Scaling parameter beta=102025.11 | 0.9989 | 100 | |
| S2KANArchitecture Shape=S, Scaling parameter beta=12025.11 | 0.9988 | 100 | |
| S2KANArchitecture Shape=L, Scaling parameter beta=12025.11 | 0.9987 | 67 | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=102025.11 | 0.9968 | 7 | |
| S2KANArchitecture Shape=L, Scaling parameter beta=102025.11 | 0.9966 | 22 | |
| Baseline KANArchitecture Shape=LM, Threshold iota=0.952025.11 | -0.19 | — | |
| Baseline KANArchitecture Shape=LM, Threshold iota=0.52025.11 | -0.23 | — | |
| Baseline KANArchitecture Shape=S, Threshold iota=0.52025.11 | -0.33 | — | |
| Baseline KANArchitecture Shape=S, Threshold iota=0.952025.11 | -0.33 | — | |
| Baseline KANArchitecture Shape=L, Threshold iota=0.52025.11 | -0.37 | — | |
| Baseline KANArchitecture Shape=L, Threshold iota=0.952025.11 | -0.37 | — |