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ResearchFormerly WizWand

Classification on BreastW

97.3AccuracyXGBoost
48.83661.4187486.582Mar 18, 2025May 23, 2025Jul 29, 2025Oct 4, 2025Dec 9, 2025Feb 14, 2026Apr 22, 2026
Updated 5mo ago

Evaluation results

MethodLinks
XGBoostPredictor=XGBoost, Feature Engineering=LLM-FE2025.0397.3—
TabPFNPredictor=TabPFN, Feature Engineering=Base2025.0397.1—
TabPFNPredictor=TabPFN, Feature Engineering=LLM-FE2025.0397.1—
LLM-FEBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.0397—
OCTreeBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.0396.9—
CAAFEMethod Category=LLM-based Methods, Downstream Classifier=XGBoost2026.0496.7—
FeatLLMBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.0396.7—
MLPPredictor=MLP, Feature Engineering=LLM-FE2025.0396.4—
Logistic RegressionPredictor=Logistic Regression, Feature Engineering=LLM-FE2025.0396.2—
CatBoostPredictor=CatBoost, Feature Engineering=LLM-FE2025.0396.2—
MALMASMethod Category=MALMAS, Downstream Classifier=XGBoost2026.0496—
CAAFEBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.0396—
LLMFEMethod Category=LLM-based Methods, Downstream Classifier=XGBoost2026.0495.8—
CatBoostPredictor=CatBoost, Feature Engineering=Base2025.0395.7—
MLPPredictor=MLP, Feature Engineering=Base2025.0395.7—
OpenFEMethod Category=Traditional Methods, Downstream Classifier=XGBoost2026.0495.6—
OCTreeMethod Category=LLM-based Methods, Downstream Classifier=XGBoost2026.0495.6—
XGBoostPredictor=XGBoost, Feature Engineering=Base2025.0395.6—
BaseBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.0395.6—
AutoFeatBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.0395.6—
OpenFEBackbone=XGBoost, n (number of samples)=699, p (number of features)=92025.0395.6—
Logistic RegressionPredictor=Logistic Regression, Feature Engineering=Base2025.0395.5—
DFSMethod Category=Traditional Methods, Downstream Classifier=XGBoost2026.0495.4—
BaseMethod Category=Base, Downstream Classifier=XGBoost2026.0495.2—
AutoFeatMethod Category=Traditional Methods, Downstream Classifier=XGBoost2026.0495.2—
Best RAModel=Best RA2026.0367.19.92
Best RBModel=Best RB2026.036510.55
Best RTModel=Best RT2026.0355.78.5
BaselineModel=Baseline2026.0350.710.5