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Classification on Wine Quality (test)

52.84Mean LossCART-size
52.729653.474854.2254.9652Sep 15, 2025

Evaluation results

MethodLinks
CART-sizeAlgorithm=CART-size, K (number of splitting rules)=52025.0952.84—0.46—
CART-sizeAlgorithm=CART-size, K (number of splitting rules)=42025.0952.88—0.45—
CART-sizeAlgorithm=CART-size, K (number of splitting rules)=62025.0953.08—0.61—
CART-depthAlgorithm=CART-depth, d (tree depth)=32025.0953.29—0.57—
ConTreeAlgorithm=ConTree, d (tree depth)=32025.0953.29—0.81—
HODTAlgorithm=HODT, K (number of splitting rules)=62025.0954.32—0.42—
HODTAlgorithm=HODT, K (number of splitting rules)=52025.0955.02—0.98—
HODTAlgorithm=HODT, K (number of splitting rules)=42025.0955.6—1.24—
ArrowFlowN=1599, Feat=11, Cls=3, ArrowFlow Config=[128] e=16 p=32026.04—35.9——
FAMeXFeature Subset=Top 30%, Classifier=SVM2026.05———55.62
FAMeXFeature Subset=Bottom 30%, Classifier=SVM2026.05———44.1
KNNN=1599, Feat=11, Cls=32026.04—29.7——
MLPN=1599, Feat=11, Cls=32026.04—30.3——
PFIFeature Subset=Top 30%, Classifier=SVM2026.05———49.98
PFIFeature Subset=Bottom 30%, Classifier=SVM2026.05———55.41
RFN=1599, Feat=11, Cls=32026.04—25.9——
SHAPFeature Subset=Top 30%, Classifier=SVM2026.05———49.01
SHAPFeature Subset=Bottom 30%, Classifier=SVM2026.05———46.11
SVMN=1599, Feat=11, Cls=32026.04—30.6——
XGBN=1599, Feat=11, Cls=32026.04—24.1——