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Classification on blood-transfusion

76.9AUROCHyConEx
48.50855.87963.2570.621Mar 16, 2025Jun 2, 2025Aug 19, 2025Nov 6, 2025Jan 23, 2026Apr 11, 2026Jun 29, 2026

Evaluation results

MethodLinks
HyConEx2025.0376.9
Logistic Regression2025.0374.9
IMN2025.0374.2
TabResNet2025.0374
LR2026.0673.4
TabPFN-HybridActive Learning Strategy=Hybrid, Backbone=TabPFN, Label Budget=100, Batch Size=102026.0372.1
TabPFN-Proxy-HybridActive Learning Strategy=Proxy-Hybrid, Backbone=TabPFN, Label Budget=100, Batch Size=102026.0372
TabPFN-CoresetActive Learning Strategy=Coreset, Backbone=TabPFN, Label Budget=100, Batch Size=102026.0371.7
LFR-IMN2026.0671.7
CatBoost2025.0370.9
TabPFN-MarginActive Learning Strategy=Margin, Backbone=TabPFN, Label Budget=100, Batch Size=102026.0370.5
TabPFN-RandomActive Learning Strategy=Random, Backbone=TabPFN, Label Budget=100, Batch Size=102026.0369.7
RF2026.0669.5
IMN2026.0669.3
CatBoost2026.0668.9
TabResNet2026.0668.7
Random Forest2025.0366.6
XGBoost-MarginActive Learning Strategy=Margin, Backbone=XGBoost, Label Budget=100, Batch Size=102026.0366
CatBoost-MarginActive Learning Strategy=Margin, Backbone=CatBoost, Label Budget=100, Batch Size=102026.0365.6
LabelSpreading-RandomActive Learning Strategy=Random, Backbone=LabelSpreading, Label Budget=100, Batch Size=102026.0360.9
Decision Tree2025.0359.9
TabNet2025.0351.6
TabNet2026.0649.6