Multi-class Classification on HAR (test)
0.029CELParamBoost
Evaluation results
| Method | Links | |
|---|---|---|
| ParamBoostImplementation=JAX2026.04 | 0.029 | |
| EBMType=Tree-based GAM2026.04 | 0.03 | |
| Linear/Logistic regressionImplementation=scikit-learn2026.04 | 0.052 | |
| APLRType=Piecewise-linear GAM2026.04 | 0.057 | |
| NAMArchitecture=MLP (64, 64, 32), Optimizer=AdamW2026.04 | 0.061 | |
| NBMArchitecture=100 shared basis functions, Optimizer=AdamW2026.04 | 0.17 |