Table 4.

Performance parameters obtained using Inception V3 and Resnet50 models.

Performance Measurement	Inception V3
	MLP					SVM
	1stFold	2ndFold	3rdFold	4thFold	5thFold	1stFold	2ndFold	3rdFold	4thFold	5thFold
Accuracy	97.71	95.91	96.51	96.51	94.81	97.61	94.42	96.71	95.41	94.31
True Positive	980	962	967	967	950	979	947	969	956	945
False Positive	23	41	35	35	52	24	56	33	46	57
Kappa	0.966	0.939	0.948	0.948	0.922	0.964	0.916	0.951	0.931	0.915
TP Rate	0.977	0.959	0.965	0.965	0.948	0.976	0.944	0.967	0.954	0.943
FP Rate	0.011	0.020	0.017	0.017	0.026	0.012	0.028	0.016	0.023	0.028
Precision	0.977	0.961	0.967	0.966	0.953	0.976	0.948	0.968	0.955	0.949
Recall	0.977	0.959	0.965	0.965	0.948	0.976	0.944	0.967	0.954	0.943
F1-measure	0.977	0.959	0.965	0.965	0.948	0.976	0.944	0.967	0.954	0.943
MCC	0.966	0.940	0.949	0.948	0.925	0.964	0.918	0.951	0.931	0.918
ROC Area	0.999	0.993	0.997	0.992	0.998	0.999	0.969	0.983	0.974	0.970
PRC Area	0.997	0.985	0.993	0.989	0.996	0.997	0.920	0.955	0.933	0.921
Performance Measurement	Resnet50
	MLP					SVM
	1stFold	2ndFold	3rdFold	4thFold	5thFold	1stFold	2ndFold	3rdFold	4thFold	5thFold
Accuracy	98.006	96.809	97.904	97.604	98.403	97.607	96.909	97.505	96.706	98.004
True Positive	983	971	981	978	986	979	972	977	969	982
False Positive	20	32	21	24	16	24	31	25	33	20
Kappa	0.9701	0.9521	0.9686	0.9641	0.976	0.9641	0.9536	0.9626	0.9506	0.9701
TP Rate	0.980	0.968	0.979	0.976	0.984	0.976	0.969	0.975	0.967	0.980
FP Rate	0.010	0.016	0.010	0.012	0.008	0.012	0.015	0.012	0.016	0.010
Precision	0.980	0.969	0.979	0.976	0.984	0.976	0.970	0.975	0.968	0.980
Recall	0.980	0.968	0.979	0.976	0.984	0.976	0.969	0.975	0.967	0.980
F1-measure	0.980	0.968	0.979	0.976	0.984	0.976	0.969	0.975	0.967	0.980
MCC	0.970	0.953	0.969	0.964	0.976	0.964	0.954	0.963	0.951	0.970
ROC Area	0.998	0.996	0.996	0.998	0.999	0.987	0.979	0.987	0.981	0.991
PRC Area	0.997	0.994	0.994	0.996	0.999	0.965	0.952	0.964	0.954	0.973