Regression on Wine (NLL, RMSE)
0.86NLLGP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GPExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=322026.07 | 0.86 | — | |
| GPExperimental Setting=2, Learning Rate Setting=low2026.07 | 0.86 | 0.56 | |
| DEvidential2024.05 | 0.89 | 0.61 | |
| NGBoost2024.05 | 0.91 | 0.63 | |
| MCDropout2024.05 | 0.93 | 0.62 | |
| DEnsemble2024.05 | 0.94 | 0.64 | |
| MFVIExperimental Setting=2, Learning Rate Setting=low2026.07 | 0.94 | 0.63 | |
| WEvidential2024.05 | 0.95 | 0.61 | |
| BDKNExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 0.98 | — | |
| DKLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 0.98 | — | |
| BLLExperimental Setting=2, Learning Rate Setting=low2026.07 | 1.02 | 0.64 | |
| LDBLLExperimental Setting=2, Learning Rate Setting=low2026.07 | 1.03 | 0.65 | |
| VBLLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 1.08 | — | |
| DEExperimental Setting=2, Learning Rate Setting=low2026.07 | 1.11 | 0.63 | |
| MFVIExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 1.12 | — | |
| DKLExperimental Setting=2, Learning Rate Setting=low2026.07 | 1.16 | 0.76 | |
| BLLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 1.19 | — | |
| DEExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 1.59 | — | |
| BDKNExperimental Setting=2, Learning Rate Setting=low2026.07 | 1.64 | 0.65 | |
| CDropout2024.05 | 1.7 | 0.62 | |
| LDBLLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | 2.07 | — | |
| VBLLExperimental Setting=2, Learning Rate Setting=low2026.07 | 3.32 | 0.72 |