Regression on Rectangular additive discontinuity (train)
0.041RMSEMATLAB NN, fitrnet [20, 20]/ReLU
Evaluation Results
| Method | Links | |
|---|---|---|
| MATLAB NN, fitrnet [20, 20]/ReLUkappa=–, Parameters=5012026.07 | 0.041 | |
| Additive GRS-KANkappa=200, Parameters=1542026.07 | 0.09 | |
| Generic RS-KANkappa=–, Parameters=4162026.07 | 0.105 | |
| Additive GRS-KANkappa=120, Parameters=1542026.07 | 0.11 | |
| Additive GRS-KANkappa=80, Parameters=1542026.07 | 0.127 | |
| Standard KANkappa=–, Parameters=2552026.07 | 0.128 | |
| Additive GRS-KANkappa=40, Parameters=1542026.07 | 0.156 | |
| Additive GRS-KANkappa=20, Parameters=1542026.07 | 0.198 |