Table 3.

Models trained with 60% of the data had accuracy and kappa values of no less than 0.95 and 0.88, respectively.

Model	Epoch	CNN	Learner	Accuracy	Sensitivity	Specificity	PPV	NPV	Kappa
M27	15	DenseNet201	SVM	0.95	0.96	0.92	0.96	0.92	0.88
M28	15	ResNet50	SVM	0.95	0.96	0.93	0.97	0.91	0.88
M12	10	DenseNet201	SVM	0.96	0.99	0.88	0.95	0.97	0.90
M43	20	ResNet50	SVM	0.96	0.97	0.93	0.97	0.93	0.90
M11	10	AlexNet	SVM	0.97	0.98	0.94	0.97	0.95	0.92
M15	10	VGG19	SVM	0.97	0.98	0.94	0.97	0.95	0.92
M41	20	AlexNet	SVM	0.97	0.97	0.95	0.98	0.94	0.92
M44	20	VGG16	SVM	0.97	0.98	0.93	0.97	0.96	0.92
M30	15	VGG19	SVM	0.97	0.99	0.93	0.97	0.98	0.93
M45	20	VGG19	SVM	0.97	0.97	0.96	0.98	0.94	0.93
M14	10	VGG16	SVM	0.98	0.97	0.98	0.99	0.94	0.94
M26	15	AlexNet	SVM	0.98	0.98	0.98	0.99	0.95	0.95
M29	15	VGG16	SVM	0.98	0.99	0.95	0.98	0.98	0.95