MFEMDroid: A Novel Malware Detection Framework Using Combined Multitype Features and Ensemble Modeling

Table 4

Results based on different networks or classifiers.

Network	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)	Mcc (%)	Training time (min)
KNN	92.31	96.28	86.96	91.37	84.84	—
DT	93.05	93.61	91.40	92.49	86.05	—
SVM	92.20	93.27	89.84	91.51	84.37	—
ResNet	93.99	94.74	92.28	93.50	87.93	0.46
SENet	94.57	95.02	93.28	94.14	89.09	0.44
SEResNet	95.20	96.65	93.16	94.87	90.42	0.45
MFEMDroid	95.38	95.78	94.47	95.12	90.74	3.79

Bold values signify the best results.