Regression on Wine (RMSE)
0.62RMSEMC Dropout
Evaluation results
| Method | Links | |
|---|---|---|
| MC Dropout2022.06 | 0.62 | |
| XGBCategory=BB2026.02 | 0.62 | |
| Deep Ensembles2022.06 | 0.63 | |
| CARD2022.06 | 0.63 | |
| PBP2022.06 | 0.64 | |
| GCDS2022.06 | 0.66 | |
| SDAMIScale=×12025.09 | 0.672 | |
| EB2MCategory=GA2M2026.02 | 0.68 | |
| CALMCategory=CALM2026.02 | 0.69 | |
| NODECategory=GA2M2026.02 | 0.69 | |
| NODE-GA2MScale=×12025.09 | 0.698 | |
| EBMCategory=GAM2026.02 | 0.7 | |
| GAMI-NETScale=×12025.09 | 0.701 | |
| DNNScale=×12025.09 | 0.702 | |
| LASSONETScale=×12025.09 | 0.703 | |
| GAMICategory=GA2M2026.02 | 0.71 | |
| NAMScale=×12025.09 | 0.712 | |
| NAMCategory=GAM2026.02 | 0.72 | |
| NODE-GAMScale=×12025.09 | 0.721 | |
| LASSOScale=×12025.09 | 0.745 | |
| fSpAMScale=×12025.09 | 0.771 |