Symbolic Regression on Nguyen-F6
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 | — | |
| S2KANArchitecture Shape=L, Scaling parameter beta=0.12025.11 | 1 | 67 | |
| Baseline KANArchitecture Shape=LM, Threshold iota=—2025.11 | 1 | — | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=0.12025.11 | 0.9999 | 44 | |
| S2KANArchitecture Shape=S, Scaling parameter beta=0.12025.11 | 0.9998 | 100 | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=12025.11 | 0.9998 | 44 | |
| S2KANArchitecture Shape=L, Scaling parameter beta=12025.11 | 0.9997 | 33 | |
| S2KANArchitecture Shape=S, Scaling parameter beta=12025.11 | 0.9994 | 100 | |
| S2KANArchitecture Shape=S, Scaling parameter beta=102025.11 | 0.9968 | 100 | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=102025.11 | 0.9918 | 11 | |
| S2KANArchitecture Shape=L, Scaling parameter beta=102025.11 | 0.9732 | 17 | |
| Baseline KANArchitecture Shape=L, Threshold iota=0.952025.11 | 0.68 | — | |
| Baseline KANArchitecture Shape=LM, Threshold iota=0.952025.11 | 0.47 | — | |
| Baseline KANArchitecture Shape=LM, Threshold iota=0.52025.11 | -0.04 | — | |
| Baseline KANArchitecture Shape=S, Threshold iota=0.52025.11 | -0.05 | — | |
| Baseline KANArchitecture Shape=S, Threshold iota=0.952025.11 | -0.05 | — | |
| Baseline KANArchitecture Shape=L, Threshold iota=0.52025.11 | -0.05 | — |