Table 7.

Summary of performances obtained with an average of five-fold cross-validation strategy for four deep learning models with MLP and SVM classifiers.

Classifiers / Models		Average Five Fold Cross-Validation
		A	TP	FP	K	TPR	FPR	P	R	F1	MCC	ROC	PRC
MLP	Inception V3	96.288	4826	186	0.944	0.962	0.018	0.964	0.962	0.962	0.945	0.995	0.992
	Resnet50	97.745	4899	113	0.966	0.977	0.011	0.977	0.977	0.977	0.966	0.997	0.996
	Resnet50 TCN	99.261	4974	37	0.988	0.992	0.003	0.992	0.992	0.992	0.989	0.999	0.999
Proposed	99.500	4987	25	0.992	0.995	0.002	0.995	0.995	0.995	0.993	0.999	0.999
SVM	Inception V3	95.690	4796	216	0.935	0.956	0.021	0.959	0.956	0.956	0.936	0.979	0.945
	Resnet50	97.346	4879	133	0.960	0.973	0.013	0.973	0.973	0.973	0.960	0.985	0.961
	Resnet50 TCN	98.961	4959	52	0.988	0.989	0.005	0.989	0.989	0.989	0.984	0.994	0.984
	Proposed	99.360	4980	32	0.990	0.993	0.003	0.993	0.993	0.993	0.990	0.996	0.991