Classification on BreastW
97.3AccuracyXGBoost
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| XGBoostPredictor=XGBoost, Feature Engineering=LLM-FE2025.03 | 97.3 | — | |
| TabPFNPredictor=TabPFN, Feature Engineering=Base2025.03 | 97.1 | — | |
| TabPFNPredictor=TabPFN, Feature Engineering=LLM-FE2025.03 | 97.1 | — | |
| LLM-FEBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.03 | 97 | — | |
| OCTreeBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.03 | 96.9 | — | |
| CAAFEMethod Category=LLM-based Methods, Downstream Classifier=XGBoost2026.04 | 96.7 | — | |
| FeatLLMBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.03 | 96.7 | — | |
| MLPPredictor=MLP, Feature Engineering=LLM-FE2025.03 | 96.4 | — | |
| Logistic RegressionPredictor=Logistic Regression, Feature Engineering=LLM-FE2025.03 | 96.2 | — | |
| CatBoostPredictor=CatBoost, Feature Engineering=LLM-FE2025.03 | 96.2 | — | |
| MALMASMethod Category=MALMAS, Downstream Classifier=XGBoost2026.04 | 96 | — | |
| CAAFEBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.03 | 96 | — | |
| LLMFEMethod Category=LLM-based Methods, Downstream Classifier=XGBoost2026.04 | 95.8 | — | |
| CatBoostPredictor=CatBoost, Feature Engineering=Base2025.03 | 95.7 | — | |
| MLPPredictor=MLP, Feature Engineering=Base2025.03 | 95.7 | — | |
| OpenFEMethod Category=Traditional Methods, Downstream Classifier=XGBoost2026.04 | 95.6 | — | |
| OCTreeMethod Category=LLM-based Methods, Downstream Classifier=XGBoost2026.04 | 95.6 | — | |
| XGBoostPredictor=XGBoost, Feature Engineering=Base2025.03 | 95.6 | — | |
| BaseBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.03 | 95.6 | — | |
| AutoFeatBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.03 | 95.6 | — | |
| OpenFEBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.03 | 95.6 | — | |
| Logistic RegressionPredictor=Logistic Regression, Feature Engineering=Base2025.03 | 95.5 | — | |
| DFSMethod Category=Traditional Methods, Downstream Classifier=XGBoost2026.04 | 95.4 | — | |
| BaseMethod Category=Base, Downstream Classifier=XGBoost2026.04 | 95.2 | — | |
| AutoFeatMethod Category=Traditional Methods, Downstream Classifier=XGBoost2026.04 | 95.2 | — | |
| Best RAModel=Best RA2026.03 | 67.1 | 9.92 | |
| Best RBModel=Best RB2026.03 | 65 | 10.55 | |
| Best RTModel=Best RT2026.03 | 55.7 | 8.5 | |
| BaselineModel=Baseline2026.03 | 50.7 | 10.5 |