Table 2.

Average performance of each model across folds for each threshold metric on the test set

		Threshold metrics (%)
	Model	Accuracy	Precision	Recall	F1-Score
Feature extraction	VGG16	88.2 ± 1.2	88.4 ± 1.5	88.1 ± 0.9	87.8 ± 1.0
	InceptionV3	82.2 ± 1.8	83.7 ± 2.4	81.1 ± 2.2	81.7 ± 1.4
	ResNet50V2	88.2 ± 1.1	88.6 ± 1.3	88.1 ± 07	87.9 ± 0.9
	Xception	90.1 ± 1.6	89.8 ± 0.9	90.7 ± 0.4	89.8 ± 0.7