Classification on credit-g
0.8ROC AUCCatBoost
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| CatBoost2026.06 | 0.8 | — | |
| RF2026.06 | 0.794 | — | |
| IMN2026.06 | 0.794 | — | |
| LR2026.06 | 0.784 | — | |
| LFR-IMN2026.06 | 0.784 | — | |
| CAAFEfolds=52026.02 | 0.783 | — | |
| AutoFeatfolds=52026.02 | 0.775 | — | |
| MALMAS2026.04 | 0.775 | — | |
| OpenFEfolds=52026.02 | 0.772 | — | |
| Baselinefolds=52026.02 | 0.771 | — | |
| DFS2026.04 | 0.758 | — | |
| FAMOSEfolds=52026.02 | 0.757 | — | |
| Base2026.04 | 0.756 | — | |
| AutoFeat2026.04 | 0.756 | — | |
| OpenFE2026.04 | 0.755 | — | |
| OCTree2026.04 | 0.754 | — | |
| TabPFN-HybridActive Learning Strategy=Hybrid, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.752 | — | |
| CAAFE2026.04 | 0.751 | — | |
| LLMFE2026.04 | 0.748 | — | |
| TabPFN-Proxy-HybridActive Learning Strategy=Proxy-Hybrid, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.746 | — | |
| TabPFN-RandomActive Learning Strategy=Random, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.743 | — | |
| TabResNet2026.06 | 0.733 | — | |
| TabPFN-MarginActive Learning Strategy=Margin, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.724 | — | |
| TabPFN-CoresetActive Learning Strategy=Coreset, Backbone=TabPFN, Label Budget=100, Batch Size=102026.03 | 0.712 | — | |
| FeatLLMfolds=52026.02 | 0.711 | — | |
| TAROTShot=162026.06 | 0.6937 | — | |
| CatBoost-MarginActive Learning Strategy=Margin, Backbone=CatBoost, Label Budget=100, Batch Size=102026.03 | 0.679 | — | |
| LabelSpreading-RandomActive Learning Strategy=Random, Backbone=LabelSpreading, Label Budget=100, Batch Size=102026.03 | 0.648 | — | |
| XGBoost-MarginActive Learning Strategy=Margin, Backbone=XGBoost, Label Budget=100, Batch Size=102026.03 | 0.645 | — | |
| TAROTShot=82026.06 | 0.6294 | — | |
| TAROTShot=42026.06 | 0.6077 | — | |
| TabLLMShot=162026.06 | 0.6038 | — | |
| SCARFShot=162026.06 | 0.5922 | — | |
| TabPFNShot=162026.06 | 0.5891 | — | |
| STUNTShot=162026.06 | 0.5763 | — | |
| FeatLLMShot=82026.06 | 0.5742 | — | |
| FeatLLMShot=162026.06 | 0.566 | — | |
| TabLLMShot=82026.06 | 0.5642 | — | |
| FeatLLMShot=42026.06 | 0.5594 | — | |
| In-contextShot=162026.06 | 0.5529 | — | |
| SCARFShot=82026.06 | 0.5526 | — | |
| STUNTShot=82026.06 | 0.545 | — | |
| TABLETShot=42026.06 | 0.5433 | — | |
| TabPFNShot=42026.06 | 0.54 | — | |
| In-contextShot=42026.06 | 0.5299 | — | |
| TABLETShot=82026.06 | 0.529 | — | |
| TabNet2026.06 | 0.527 | — | |
| TabPFNShot=82026.06 | 0.5258 | — | |
| In-contextShot=82026.06 | 0.5243 | — | |
| TabLLMShot=42026.06 | 0.519 | — | |
| TABLETShot=162026.06 | 0.5165 | — | |
| SCARFShot=42026.06 | 0.4892 | — | |
| STUNTShot=42026.06 | 0.488 | — | |
| ASK-GBDTHPO=SMAC, Library=Auto-sklearn2021.06 | — | 71.191 | |
| AutoFeatBackbone=XGBoost, n (number of samples)=1000, p (number of features)=202025.03 | — | 75.7 | |
| AutoGluonStacking=true2021.06 | — | 69.643 | |
| BaseBackbone=XGBoost, n (number of samples)=1000, p (number of features)=202025.03 | — | 75.1 | |
| CAAFEBackbone=XGBoost, n (number of samples)=1000, p (number of features)=202025.03 | — | 75.1 | |
| CuBASclassifier=k-NN, training_set_sizes=10%–80%2026.07 | — | 79.4 | |
| Entropyclassifier=k-NN, training_set_sizes=10%–80%2026.07 | — | 58.54 | |
| FeatLLMBackbone=XGBoost, n (number of samples)=1000, p (number of features)=202025.03 | — | 70.7 | |
| LLM-FEBackbone=XGBoost, n (number of samples)=1000, p (number of features)=202025.03 | — | 76.6 | |
| MLP2021.06 | — | 69.405 | |
| MLP+CRegularization=Cocktails2021.06 | — | 74.643 | |
| MLP+DRegularization=Dropout2021.06 | — | 68.095 | |
| NODE2021.06 | — | 73.095 | |
| OCTreeBackbone=XGBoost, n (number of samples)=1000, p (number of features)=202025.03 | — | 75.3 | |
| OpenFEBackbone=XGBoost, n (number of samples)=1000, p (number of features)=202025.03 | — | 75.8 | |
| Randomclassifier=k-NN, training_set_sizes=10%–80%2026.07 | — | 59.6 | |
| TabNet2021.06 | — | 61.19 | |
| XGBoostHPO=BOHB2021.06 | — | 68.929 |