Table 6.

Comparison with existing methods.

Refs	Dataset	Model	Metrics
[40]	Dataset 1	RF, LR, GLMNET, and ANN	AUC = 95
[42]	Dataset 1	NN, RF, GBT, LR, and SVM	AUC = 85
[19]	Dataset 1	MLP, SVM, RT, RF, BN, and NB	Acc = 95.15%
			Sens = 96.8%, Spec = 93.6%
[16]	Dataset 1	XGBoost	AUC = 99.38
KPCA-OCSVM	Dataset 1	KPCA-OCSVM	AUC = 99
[41]	Dataset 2	DT-XGBoost	AUC = 85
KPCA-OCSVM	Dataset 2	KPCA-OCSVM	AUC = 99