Research Article
An Android Malware Detection Leveraging Machine Learning
Table 6
The summary of results of test 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 | 0.995 | 0.994 | 0.9969 | 0.996 | 0.993 | 0.997 | 0.991 | 0.994 | 0.997 | 0.999 | 0.997 | 0.998 | XGBoost | 0.995 | 0.9946 | 0.997 | 0.9958 | 0.993 | 0.997 | 0.991 | 0.994 | 0.998 | 0.997 | 0.997 | 0.998 | Decision tree | 0.9941 | 0.994 | 0.9969 | 0.9942 | 0.987 | 0.991 | 0.988 | 0.987 | 0.995 | 0.997 | 0.996 | 0.996 | Random forest | 0.946 | 0.951 | 0.994 | 0.972 | 0.943 | 0.965 | 0.942 | 0.953 | 0.974 | 0.993 | 0.966 | 0.979 |
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