Symbolic Regression on Nguyen-F5
1R^2Baseline KAN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Baseline KANArchitecture Shape=S, Threshold iota=—2025.11 | 1 | — | |
| Baseline KANArchitecture Shape=S, Threshold iota=0.52025.11 | 1 | — | |
| Baseline KANArchitecture Shape=S, Threshold iota=0.952025.11 | 1 | — | |
| Baseline KANArchitecture Shape=L, Threshold iota=—2025.11 | 1 | — | |
| Baseline KANArchitecture Shape=LM, Threshold iota=—2025.11 | 1 | — | |
| S2KANArchitecture Shape=L, Scaling parameter beta=0.12025.11 | 0.9999 | 33 | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=0.12025.11 | 0.9999 | 22 | |
| S2KANArchitecture Shape=S, Scaling parameter beta=0.12025.11 | 0.9998 | 100 | |
| S2KANArchitecture Shape=L, Scaling parameter beta=12025.11 | 0.9997 | 0 | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=12025.11 | 0.9997 | 22 | |
| S2KANArchitecture Shape=S, Scaling parameter beta=12025.11 | 0.998 | 100 | |
| S2KANArchitecture Shape=S, Scaling parameter beta=102025.11 | 0.9721 | 100 | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=102025.11 | 0.0039 | 0 | |
| S2KANArchitecture Shape=L, Scaling parameter beta=102025.11 | 0.0037 | 0 | |
| Baseline KANArchitecture Shape=L, Threshold iota=0.52025.11 | -0.56 | — | |
| Baseline KANArchitecture Shape=L, Threshold iota=0.952025.11 | -1.2 | — | |
| Baseline KANArchitecture Shape=LM, Threshold iota=0.952025.11 | -6.51 | — | |
| Baseline KANArchitecture Shape=LM, Threshold iota=0.52025.11 | -21.62 | — |