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Classification Accuracy on WDBC

98.25AccuracyHL-SMM
69.317276.828684.3491.8514Feb 28, 2026Mar 12, 2026Mar 24, 2026Apr 5, 2026Apr 17, 2026Apr 29, 2026May 12, 2026

Evaluation results

MethodLinks
HL-SMM2026.0298.25
Poly-SVM2026.0297.83
RBF-SVM2026.0297.08
Pinball-SMM2026.0295.09
Hinge-SMM2026.0294.15
Linear-SVM2026.0294.15
FAMeXClassifier=Random Forest, Feature Importance Subset=Top 30%2026.0592.26
Ramp-SMM2026.0292.05
FAMeXClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.0591.5
SHAPClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.0590.78
FAMeXFeature selection=Top 30%, Classifier=Decision Tree2026.0590.39
PFIClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.0590.35
SHAPClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.0590.21
PFIClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.0590.11
SHAPFeature selection=Bottom 30%, Classifier=Decision Tree2026.0589.07
PFIFeature selection=Bottom 30%, Classifier=Decision Tree2026.0588.38
LS-SMM2026.0284.8
SHAPClassifier=Random Forest, Feature Importance Subset=Top 30%2026.0583.42
PFIClassifier=Random Forest, Feature Importance Subset=Top 30%2026.0582.39
SHAPClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.0582.39
PFIClassifier=Naive Bayes, Feature Importance Subset=Top 30%2026.0582.13
SHAPFeature selection=Top 30%, Classifier=Decision Tree2026.0580.97
PFIFeature selection=Top 30%, Classifier=Decision Tree2026.0579.87
FAMeXClassifier=Naive Bayes, Feature Importance Subset=Bottom 30%2026.0576.42
FAMeXFeature selection=Bottom 30%, Classifier=Decision Tree2026.0572.14
FAMeXClassifier=Random Forest, Feature Importance Subset=Bottom 30%2026.0570.43