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Classification on ILPD (Accuracy)

71.7AccuracyCG
49.111254.975660.8466.7044Jun 8, 2022Feb 2, 2023Sep 29, 2023May 25, 2024Jan 19, 2025Sep 15, 2025May 12, 2026
Updated 5mo ago

Evaluation results

MethodLinks
CG#samples=583, #features=1602022.0671.7
DS-OPT#samples=583, #features=1602022.0671.4
RF#samples=583, #features=1602022.0671.2
FAMeXClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.0570.72
FAMeXFeature selection=Top 30%, Classifier=Decision Tree2026.0570.28
PFIClassifier=Random Forest, Feature Importance Subset=Top 30%2026.0569.98
CART#samples=583, #features=1602022.0669.4
SHAPClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.0569.07
BRS#samples=583, #features=1602022.0669
SHAPClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.0568.53
PFIClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.0568.36
FAMeXClassifier=Random Forest, Feature Importance Subset=Top 30%2026.0568.19
SHAPClassifier=Random Forest, Feature Importance Subset=Top 30%2026.0568.13
SHAPFeature selection=Bottom 30%, Classifier=Decision Tree2026.0566.9
PFIFeature selection=Top 30%, Classifier=Decision Tree2026.0566.36
FAMeXClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.0565.76
SHAPFeature selection=Top 30%, Classifier=Decision Tree2026.0565.68
FAMeXFeature selection=Bottom 30%, Classifier=Decision Tree2026.0564.93
PFIClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.0563.87
PFIFeature selection=Bottom 30%, Classifier=Decision Tree2026.0562.56
RIPPER#samples=583, #features=1602022.0657.8
FAMeXClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.0553.69
PFIClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.0550.48
SHAPClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.0549.98