Classification on Bank Marketing (ROC-AUC)
0.934ROC AUCBaseline
Evaluation results
| Method | Links | |
|---|---|---|
| Baselinefolds=52026.02 | 0.934 | |
| CAAFEfolds=52026.02 | 0.933 | |
| FAMOSEfolds=52026.02 | 0.928 | |
| Unbiasediterations=50, cross_validation=10 times repeated 5-fold, training_context=unbiased dataset2026.03 | 0.906 | |
| TabPFN-RandomActive Learning Strategy=Random, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.854 | |
| Uniformiterations=50, cross_validation=10 times repeated 5-fold2026.03 | 0.847 | |
| MRSiterations=50, cross_validation=10 times repeated 5-fold2026.03 | 0.845 | |
| FW-MRSRFiterations=50, cross_validation=10 times repeated 5-fold2026.03 | 0.843 | |
| FW-MRSSVMiterations=50, cross_validation=10 times repeated 5-fold2026.03 | 0.84 | |
| PSAiterations=50, cross_validation=10 times repeated 5-fold2026.03 | 0.839 | |
| TabPFN-HybridActive Learning Strategy=Hybrid, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.837 | |
| TabPFN-CoresetActive Learning Strategy=Coreset, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.836 | |
| KMMiterations=50, cross_validation=10 times repeated 5-fold2026.03 | 0.832 | |
| TabPFN-Proxy-HybridActive Learning Strategy=Proxy-Hybrid, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.83 | |
| TabPFN-MarginActive Learning Strategy=Margin, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.799 | |
| CatBoost-MarginActive Learning Strategy=Margin, Backbone=CatBoost, Label Budget=100, Batch Size=102026.03 | 0.759 | |
| FeatLLMfolds=52026.02 | 0.738 | |
| XGBoost-MarginActive Learning Strategy=Margin, Backbone=XGBoost, Label Budget=100, Batch Size=102026.03 | 0.705 | |
| LabelSpreading-RandomActive Learning Strategy=Random, Backbone=LabelSpreading, Label Budget=100, Batch Size=102026.03 | 0.655 |