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Binary Classification on Diabetes

0.84AUCLoID
0.479120.572810.66650.76019Jul 2, 2025Aug 23, 2025Oct 14, 2025Dec 5, 2025Jan 26, 2026Mar 19, 2026May 11, 2026

Evaluation results

MethodLinks
LoIDmode=our method, backbone=Gemma-2-27B, alpha=0.2, gamma=2, N_sent=102026.010.8499————
Capmode=oracle-style upper bound2026.010.84—————
LoIDmode=our method, backbone=Gemma-2-27B, alpha=0.2, gamma=2, N_sent=102026.010.8488————
Capmode=oracle-style upper bound2026.010.84—————
Random Forest2026.050.835————75.3
AutoElicitmode=baseline2026.010.83—————
AutoElicitmode=baseline2026.010.83—————
Logistic Regression2026.050.826————74.2
TT-SPARSE2026.030.8208———149—
OOD-LRdescription=logistic regression trained on an OOD training set2026.010.82—————
OOD-LRdescription=logistic regression trained on an OOD training set2026.010.81—————
RuleFit2026.030.8024———197—
TabM2026.030.7957—————
SBN2025.070.792—0.0410.695——
XGBoost2025.070.791—0.0280.695——
Gradient Boosting2026.050.782————69.7
GLRM2026.030.7796———8,710—
MLP2026.050.761————67.4
RRL2026.030.7609———247—
LLMProcmode=baseline2026.010.74—————
Classy2026.030.726———143—
DWN2026.030.7186———58,826—
LLMProcmode=baseline2026.010.7—————
NeuRules2026.030.6854———181—
GOSDT2026.030.6443———52—
RL-Net2026.030.6442———910—
DP-FinDiffε-DP=12025.110.584—————
DP-FinDiffε-DP=102025.110.582—————
DP-FinDiffε-DP=0.22025.110.572—————
DP-TVAEε-DP=102025.110.572—————
DP-TabDDPMε-DP=102025.110.512—————
DP-TVAEε-DP=12025.110.505—————
DP-TabDDPMε-DP=0.22025.110.502—————
DP-CTGANε-DP=0.22025.110.501—————
DP-TabDDPMε-DP=12025.110.501—————
DP-CTGANε-DP=102025.110.497—————
DP-TVAEε-DP=0.22025.110.494—————
DP-CTGANε-DP=12025.110.493—————