Classification on JM1
0.673ROC AUCTabPFN-Hybrid
Evaluation results
| Method | Links | |
|---|---|---|
| TabPFN-HybridActive Learning Strategy=Hybrid, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.673 | |
| TabPFN-RandomActive Learning Strategy=Random, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.67 | |
| TabPFN-Proxy-HybridActive Learning Strategy=Proxy-Hybrid, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.645 | |
| TabPFN-CoresetActive Learning Strategy=Coreset, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.643 | |
| TabPFN-MarginActive Learning Strategy=Margin, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.638 | |
| CatBoost-MarginActive Learning Strategy=Margin, Backbone=CatBoost, Label Budget=100, Batch Size=102026.03 | 0.626 | |
| XGBoost-MarginActive Learning Strategy=Margin, Backbone=XGBoost, Label Budget=100, Batch Size=102026.03 | 0.621 | |
| LabelSpreading-RandomActive Learning Strategy=Random, Backbone=LabelSpreading, Label Budget=100, Batch Size=102026.03 | 0.537 |