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ResearchFormerly WizWand

Regression on Naval (NLL, RMSE)

0RMSEWEvidential
-0.00060.003450.00750.01155May 15, 2024Sep 22, 2024Jan 31, 2025Jun 10, 2025Oct 19, 2025Feb 26, 2026Jul 7, 2026
Updated 3mo ago

Evaluation results

MethodLinks
WEvidential2024.050-5.47
DEnsemble2024.050-5.63
CDropout2024.050-5.87
NGBoost2024.050-5.34
DEvidential2024.050-5.73
BDKNExperimental Setting=2, Learning Rate Setting=low2026.070-4.76
DEExperimental Setting=2, Learning Rate Setting=low2026.070-5.33
LDBLLExperimental Setting=2, Learning Rate Setting=low2026.070-4.59
GPExperimental Setting=2, Learning Rate Setting=low2026.070-4.7
BLLExperimental Setting=2, Learning Rate Setting=low2026.070-3.3
MFVIExperimental Setting=2, Learning Rate Setting=low2026.070-8.1
VBLLExperimental Setting=2, Learning Rate Setting=low2026.070-3.7
GP-RBF2026.050.002—
Bethe-Diag2026.050.009—
Bethe-Diag-FS2026.050.009—
VBLL2026.050.009—
Bethe-Obs2026.050.009—
MCDropout2024.050.01-3.8
DKLExperimental Setting=2, Learning Rate Setting=low2026.070.010.54
Bethe-FG2026.050.015—
MAP2026.050.015—
Laplace-Full2026.050.015—
MC Dropout2026.050.015—
Deep Ensemble2026.050.015—
Bethe-FG-FS2026.050.015—
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