Table 7.

Results of classifiers trained on reduced train sets.

		SVM	LR	DT	RF	XGB	AB	KNN
Drebin	Accuracy	96.28	96.24	94.88	96.02	96.09	92.27	96.33
	Recall	95.6	95.6	95.4	96.1	95.5	87.9	94.9
	Precision	95.7	95.7	93.1	94.8	95.5	93.9	96.6
	F-measure	95.7	95.7	94.2	95.5	95.5	90.8	95.8
AMD	Accuracy	96.61	96.26	96.43	96.89	95.85	94.61	95.43
	Recall	97.4	97	97.6	97.9	97.4	95.5	96
	Precision	97.7	97.7	97.4	97.8	96.8	96.9	97.6
	F-measure	97.6	97.4	97.5	97.8	97.1	96.2	96.8
Androzoo	Accuracy	97	97.05	96.55	97.53	96.39	95.61	97.31
	Recall	98.7	98.8	98.5	99.5	99.3	98.1	99.5
	Precision	96.9	96.9	96.4	97	97.4	95.5	98
	F-measure	97.8	97.8	97.5	98.2	97.4	96.8	98