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ResearchFormerly WizWand

Classification on eucalyptus (Accuracy)

71.5AccuracyTabPFN
40.19648.32356.4564.577Mar 18, 2025
Updated 5mo ago

Evaluation results

MethodLinks
TabPFNPredictor=TabPFN, Feature Engineering=LLM-FE2025.0371.5
TabPFNPredictor=TabPFN, Feature Engineering=Base2025.0371.2
CAAFEBackbone=XGBoost, n (number of samples)=736, p (number of features)=192025.0367.9
Logistic RegressionPredictor=Logistic Regression, Feature Engineering=Base2025.0367.1
XGBoostPredictor=XGBoost, Feature Engineering=LLM-FE2025.0366.8
LLM-FEBackbone=XGBoost, n (number of samples)=736, p (number of features)=192025.0366.8
Logistic RegressionPredictor=Logistic Regression, Feature Engineering=LLM-FE2025.0366.7
AutoFeatBackbone=XGBoost, n (number of samples)=736, p (number of features)=192025.0366.4
OpenFEBackbone=XGBoost, n (number of samples)=736, p (number of features)=192025.0366.3
OCTreeBackbone=XGBoost, n (number of samples)=736, p (number of features)=192025.0365.8
XGBoostPredictor=XGBoost, Feature Engineering=Base2025.0365.5
BaseBackbone=XGBoost, n (number of samples)=736, p (number of features)=192025.0365.5
CatBoostPredictor=CatBoost, Feature Engineering=LLM-FE2025.0350.9
MLPPredictor=MLP, Feature Engineering=LLM-FE2025.0345.6
CatBoostPredictor=CatBoost, Feature Engineering=Base2025.0343.6
MLPPredictor=MLP, Feature Engineering=Base2025.0341.4