Regression on Protein (NLL, RMSE)
2.63NLLDEvidential
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DEvidential2024.05 | 2.63 | 4.64 | |
| WEvidential2024.05 | 2.7 | 4.09 | |
| DEExperimental Setting=2, Learning Rate Setting=low2026.07 | 2.74 | 4.06 | |
| BDKNExperimental Setting=2, Learning Rate Setting=low2026.07 | 2.8 | 4.05 | |
| VBLLExperimental Setting=2, Learning Rate Setting=low2026.07 | 2.8 | 3.95 | |
| CDropout2024.05 | 2.81 | 3.85 | |
| NGBoost2024.05 | 2.81 | 4.33 | |
| MFVIExperimental Setting=2, Learning Rate Setting=low2026.07 | 2.81 | 3.87 | |
| DEnsemble2024.05 | 2.83 | 4.71 | |
| LDBLLExperimental Setting=2, Learning Rate Setting=low2026.07 | 2.86 | 4.17 | |
| MCDropout2024.05 | 2.89 | 4.36 | |
| BLLExperimental Setting=2, Learning Rate Setting=low2026.07 | 2.95 | 4.09 | |
| DKLExperimental Setting=2, Learning Rate Setting=low2026.07 | 10.68 | 4.22 | |
| SVTP+MCModel Variant=SVTP+MC2024.08 | 260 | 4.86 | |
| SVTP+UBModel Variant=SVTP+UB2024.08 | 295 | 5.64 | |
| SVGP+TModel Variant=SVGP+T2024.08 | 308 | 6.12 | |
| SVGPModel Variant=SVGP2024.08 | 425 | 7.23 |