Symbolic Regression on Nguyen-F8
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=L, Scaling parameter beta=0.12025.11 | 0.9998 | 83 | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=0.12025.11 | 0.9998 | 78 | |
| S2KANArchitecture Shape=S, Scaling parameter beta=0.12025.11 | 0.999 | 100 | |
| S2KANArchitecture Shape=L, Scaling parameter beta=12025.11 | 0.9989 | 50 | |
| S2KANArchitecture Shape=S, Scaling parameter beta=12025.11 | 0.9987 | 100 | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=12025.11 | 0.9953 | 22 | |
| S2KANArchitecture Shape=LM, Scaling parameter beta=102025.11 | 0.9839 | 0 | |
| S2KANArchitecture Shape=S, Scaling parameter beta=102025.11 | 0.966 | 100 | |
| S2KANArchitecture Shape=L, Scaling parameter beta=102025.11 | 0.9534 | 67 | |
| Baseline KANArchitecture Shape=LM, Threshold iota=0.952025.11 | -2 | — | |
| Baseline KANArchitecture Shape=L, Threshold iota=0.952025.11 | -3.83 | — | |
| Baseline KANArchitecture Shape=LM, Threshold iota=0.52025.11 | -4.45 | — | |
| Baseline KANArchitecture Shape=L, Threshold iota=0.52025.11 | -7.81 | — | |
| Baseline KANArchitecture Shape=S, Threshold iota=0.52025.11 | -8.43 | — | |
| Baseline KANArchitecture Shape=S, Threshold iota=0.952025.11 | -8.43 | — |