Table 2: Mean accuracy, precision, recall and f1score for the proposed prognet architecture as well as alexnet, VGG16, VGG19.

	AlexNet	VGG16	VGG19	ProgNet
Accuracy	0.893 ±0.07	0.915 ±0.03	0.924 ±0.04	0.950 ±0.03
Precision	0.820 ±0.08	0.912 ±0.02	0.920 ±0.03	0.954 ±0.02
Recall	0.818 ±0.09	0.917 ±0.05	0.928 ±0.06	0.948 ±0.04
F1 score	0.818 ±0.06	0.914 ±0.03	0.923 ±0.04	0.950 ±0.02