Regression on Naval (NLL, RMSE)
0RMSEWEvidential
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| WEvidential2024.05 | 0 | -5.47 | |
| DEnsemble2024.05 | 0 | -5.63 | |
| CDropout2024.05 | 0 | -5.87 | |
| NGBoost2024.05 | 0 | -5.34 | |
| DEvidential2024.05 | 0 | -5.73 | |
| BDKNExperimental Setting=2, Learning Rate Setting=low2026.07 | 0 | -4.76 | |
| DEExperimental Setting=2, Learning Rate Setting=low2026.07 | 0 | -5.33 | |
| LDBLLExperimental Setting=2, Learning Rate Setting=low2026.07 | 0 | -4.59 | |
| GPExperimental Setting=2, Learning Rate Setting=low2026.07 | 0 | -4.7 | |
| BLLExperimental Setting=2, Learning Rate Setting=low2026.07 | 0 | -3.3 | |
| MFVIExperimental Setting=2, Learning Rate Setting=low2026.07 | 0 | -8.1 | |
| VBLLExperimental Setting=2, Learning Rate Setting=low2026.07 | 0 | -3.7 | |
| GP-RBF2026.05 | 0.002 | — | |
| Bethe-Diag2026.05 | 0.009 | — | |
| Bethe-Diag-FS2026.05 | 0.009 | — | |
| VBLL2026.05 | 0.009 | — | |
| Bethe-Obs2026.05 | 0.009 | — | |
| MCDropout2024.05 | 0.01 | -3.8 | |
| DKLExperimental Setting=2, Learning Rate Setting=low2026.07 | 0.01 | 0.54 | |
| Bethe-FG2026.05 | 0.015 | — | |
| MAP2026.05 | 0.015 | — | |
| Laplace-Full2026.05 | 0.015 | — | |
| MC Dropout2026.05 | 0.015 | — | |
| Deep Ensemble2026.05 | 0.015 | — | |
| Bethe-FG-FS2026.05 | 0.015 | — | |
| BDKNExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | — | -2.8 | |
| BLLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | — | -3.2 | |
| DEExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | — | -0.07 | |
| DKLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | — | -1.14 | |
| GPExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=322026.07 | — | -5.11 | |
| LDBLLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | — | -2.05 | |
| MFVIExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | — | -3.03 | |
| VBLLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.07 | — | -0.51 |