Research Article
An Android Malware Detection Leveraging Machine Learning
Table 5
The summary of results of validation file.
| Classifier | (a) Static feature result | (b) Dynamic feature result | (c) Hybrid feature result | Accuracy | Precision | Recall | F1_score | Accuracy | Precision | Recall | F1_score | Accuracy | Precision | Recall | F1_score |
| Gradient boosting | 0.9954 | 0.996 | 0.9967 | 0.9964 | 0.993 | 0.997 | 0.992 | 0.994 | 0.997 | 0.998 | 0.996 | 0.997 | XGBoost | 0.9956 | 0.9959 | 0.9971 | 0.9965 | 0.993 | 0.997 | 0.992 | 0.994 | 0.998 | 0.999 | 0.997 | 0.998 | Decision tree | 0.9946 | 0.99501 | 0.9964 | 0.9947 | 0.987 | 0.991 | 0.989 | 0.987 | 0.996 | 0.997 | 0.996 | 0.996 | Random forest | 0.962 | 0.947 | 0.994 | 0.970 | 0.943 | 0.967 | 0.941 | 0.954 | 0.976 | 0.994 | 0.967 | 0.980 |
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