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Regression on Rectangular additive discontinuity (train)

0.041RMSEMATLAB NN, fitrnet [20, 20]/ReLU
0.034720.077110.11950.16189Jul 1, 2026

Evaluation results

MethodLinks
MATLAB NN, fitrnet [20, 20]/ReLUkappa=–, Parameters=5012026.070.041
Additive GRS-KANkappa=200, Parameters=1542026.070.09
Generic RS-KANkappa=–, Parameters=4162026.070.105
Additive GRS-KANkappa=120, Parameters=1542026.070.11
Additive GRS-KANkappa=80, Parameters=1542026.070.127
Standard KANkappa=–, Parameters=2552026.070.128
Additive GRS-KANkappa=40, Parameters=1542026.070.156
Additive GRS-KANkappa=20, Parameters=1542026.070.198