Table 3.

Classification results using VGG19 model features.

Classifier	Recall (%)	Precision (%)	F1 Score (%)	FPR	AUC	Accuracy (%)	FNR (%)
Fine Tree	88.6	88.8	88.7	0.028	0.946	88.7	11.4
Cubic SVM	99.8	99.8	99.8	0	1	99.9	0.2
Fine KNN	99.6	99.6	99.6	0	1	99.8	0.4
Cosine KNN	98.2	98.2	98.2	0.006	1	98.2	1.8
Bagged Tree	97.8	97.2	97.4	0.006	1	97.2	2.2
Linear SVM	97.4	96.6	96.9	0.01	1	96.6	2.6
Coarse Tree	73	63.6	67.9	0.068	0.91	73.1	27