Table 7.

Per-class performance comparisons for malware classification using dataset 2 with 256 × 256.

Class	Method	Precision (%)	Recall (%)	F1-Score (%)
Adware	GNB	73	100	85
	SVM	100	87	93
	DT	98	99	99
	LR	1	88	93
	RF	99	99	99
	Ensemble	98	99	99
Banking	GNB	100	92	96
	SVM	100	92	96
	DT	99	98	98
	LR	1	92	96
	RF	99	99	99
	Ensemble	100	99	99
Riskware	GNB	100	86	93
	SVM	99	86	92
	DT	99	99	99
	LR	1	86	93
	RF	99	99	99
	Ensemble	100	99	99
SMS	GNB	100	83	91
	SVM	74	100	85
	DT	99	99	99
	LR	74	1	85
	RF	99	99	99
	Ensemble	98	99	99