Classification on vehicle (ROC-AUC)
100ROC AUCTabPFN-Proxy-Hybrid
Evaluation Results
| Method | Links | |
|---|---|---|
| TabPFN-Proxy-HybridActive Learning Strategy=Proxy-Hybrid, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 100 | |
| TabPFN-MarginActive Learning Strategy=Margin, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 100 | |
| TabPFN-HybridActive Learning Strategy=Hybrid, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 99.9 | |
| TabPFN-RandomActive Learning Strategy=Random, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 99.8 | |
| TabPFN-CoresetActive Learning Strategy=Coreset, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 99.6 | |
| CatBoost-MarginActive Learning Strategy=Margin, Backbone=CatBoost, Label Budget=100, Batch Size=102026.03 | 99.5 | |
| XGBoost-MarginActive Learning Strategy=Margin, Backbone=XGBoost, Label Budget=100, Batch Size=102026.03 | 98.6 | |
| LabelSpreading-RandomActive Learning Strategy=Random, Backbone=LabelSpreading, Label Budget=100, Batch Size=102026.03 | 97.5 | |
| OpenFEfolds=52026.02 | 95.2 | |
| AutoFeatfolds=52026.02 | 95.1 | |
| CAAFEfolds=52026.02 | 93 | |
| Baselinefolds=52026.02 | 92.9 | |
| FAMOSEfolds=52026.02 | 91.8 | |
| FeatLLMfolds=52026.02 | 79.2 |