Table 8.

Performance metrics for the classification models using the evaluation dataset (N = 3,172).

Model	VGG16	VGG19	ResNet50
Precision	0.9554	0.9605	0.9754
Recall	0.9342	0.9419	0.9779
F1 score	0.9447	0.9511	0.9766