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Regression on Yacht (Average NLL Relative Percentage, Actual NLL)

1.23Actual NLLBDKN
-431.00082,486.55715,404.1158,321.6729Dec 15, 2025Jan 18, 2026Feb 21, 2026Mar 27, 2026Apr 30, 2026Jun 3, 2026Jul 7, 2026

Evaluation results

MethodLinks
BDKNExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.071.23—
DKLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.071.74—
VBLLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.071.89—
GPExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=322026.072.07—
DEExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.072.1—
LDBLLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.072.79—
MCMC2025.123.560.46
MFVIExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.073.75—
SVI2025.123.770.18
BLLExperimental Setting=1 (high learning rate), Learning Rate=0.1, Epochs=40, Batch Size=32, Architecture=2 hidden layers (50 neurons each)2026.073.77—
HABNN2025.124.270.27
KBNN2025.124.370.2
TAGI2025.125.84203.05
PBP2025.127.060.14
Laplace2025.122,1710.95
Dropout2025.1210,8070.24