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Classification on balance-scale

1ROC AUCFeatLLM
0.910560.933780.9570.98022Feb 19, 2026Feb 25, 2026Mar 3, 2026Mar 9, 2026Mar 15, 2026Mar 21, 2026Mar 28, 2026

Evaluation results

MethodLinks
FeatLLMfolds=52026.021
FAMOSEfolds=52026.021
OpenFEfolds=52026.020.999
TabPFN-MarginActive Learning Strategy=Margin, Backbone=TabPFN, Label Budget=100, Batch Size=102026.030.998
TabPFN-Proxy-HybridActive Learning Strategy=Proxy-Hybrid, Backbone=TabPFN, Label Budget=100, Batch Size=102026.030.996
TabPFN-HybridActive Learning Strategy=Hybrid, Backbone=TabPFN, Label Budget=100, Batch Size=102026.030.994
TabPFN-RandomActive Learning Strategy=Random, Backbone=TabPFN, Label Budget=100, Batch Size=102026.030.99
TabPFN-CoresetActive Learning Strategy=Coreset, Backbone=TabPFN, Label Budget=100, Batch Size=102026.030.989
AutoFeatfolds=52026.020.977
CAAFEfolds=52026.020.965
LabelSpreading-RandomActive Learning Strategy=Random, Backbone=LabelSpreading, Label Budget=100, Batch Size=102026.030.957
CatBoost-MarginActive Learning Strategy=Margin, Backbone=CatBoost, Label Budget=100, Batch Size=102026.030.956
XGBoost-MarginActive Learning Strategy=Margin, Backbone=XGBoost, Label Budget=100, Batch Size=102026.030.955
Baselinefolds=52026.020.914