Table 1.

The test loss, accuracy, and metrics of recall, precision, and mcor (average).

Deep transfer network	Loss	Accuracy	Recall	Precision	Mcor
Model-1 (on VGG16)	0.0659	0.9795	0.9844	0.9747	0.9589
Model-2 (on VGG19)	0.0699	0.9826	0.9801	0.9851	0.9653
Model-3 (on ResNet50)	0.2249	0.9617	0.9865	0.9400	0.9246