Symbolic Regression on Nguyen-F10
1R^2Baseline KAN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Baseline KANArchitecture Shape=L, Threshold iota=—2025.11 | 1 | — | |
| Baseline KANArchitecture Shape=LM, Threshold iota=—2025.11 | 1 | — | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=0.12025.11 | 0.9999 | 86 | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=12025.11 | 0.9999 | 21 | |
| S2KANArchitecture Shape=L, Scaling parameter beta=0.12025.11 | 0.9998 | 100 | |
| S2KANArchitecture Shape=L, Scaling parameter beta=12025.11 | 0.9997 | 100 | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=102025.11 | 0.9988 | 21 | |
| S2KANArchitecture Shape=L, Scaling parameter beta=102025.11 | 0.9968 | 56 | |
| Baseline KANArchitecture Shape=LM, Threshold iota=0.952025.11 | 0.56 | — | |
| S2KANArchitecture Shape=S, Scaling parameter beta=102025.11 | 0.0039 | 0 | |
| Baseline KANArchitecture Shape=S, Threshold iota=0.52025.11 | 0 | — | |
| Baseline KANArchitecture Shape=S, Threshold iota=0.952025.11 | 0 | — | |
| S2KANArchitecture Shape=S, Scaling parameter beta=0.12025.11 | -0.0006 | 50 | |
| S2KANArchitecture Shape=S, Scaling parameter beta=12025.11 | -0.0006 | 0 | |
| Baseline KANArchitecture Shape=S, Threshold iota=—2025.11 | -0.0008 | — | |
| Baseline KANArchitecture Shape=L, Threshold iota=0.52025.11 | -0.09 | — | |
| Baseline KANArchitecture Shape=LM, Threshold iota=0.52025.11 | -0.09 | — | |
| Baseline KANArchitecture Shape=L, Threshold iota=0.952025.11 | -0.37 | — |