Table 7 Results of classifiers trained on reduced train sets.
| Â | 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 | |
