Table 12.

AUC comparison for different algorithms with different preprocessing methods on the Haberman dataset.

Algorithms	NONE	SMOTE	SL-SMOTE	SMOTE-TL	B-SMOTE	CVCF-SMOTE
FPSO-SVM	0.5274	0.6813	0.6288	0.7310	0.7748	0.8206
PSO-SVM	0.5012	0.6131	0.6325	0.6669	0.6518	0.7121
SVM	0.5077	0.6096	0.6246	0.6598	0.6566	0.7035
RF	0.5731	0.6815	0.6132	0.7283	0.7588	0.7784
GBDT	0.5492	0.6607	0.6274	0.7226	0.7475	0.7765
KNN	0.5737	0.6649	0.6418	0.6997	0.7433	0.8009
AdaBoost	0.5809	0.6359	0.6293	0.6118	0.6779	0.7549