Research Article
Android Malware Characterization Using Metadata and Machine Learning Techniques
Table 5
F1-score value of Random Forests with different feature sets.
| F1-score Random Forest (train/test) |
| NDet | 1-15 feats. | 3-17 feats. | 5-19 feats | 7-21 feats | 9-23 feats. | 11-25 feats | 13-27 feats |
| 1 AV | 0.99/0.84 | 0.99/0.86 | 0.99/0.84 | 0.99/0.74 | 0.96/0.72 | 0.88/0.67 | 0.80/0.64 | 2 AV | 0.99/0.87 | 0.99/0.87 | 0.99/0.86 | 0.99/0.79 | 0.96/0.75 | 0.88/0.71 | 0.75/0.66 | 4 AV | 0.99/0.89 | 0.99/0.88 | 0.99/0.87 | 0.99/0.80 | 0.96/0.77 | 0.89/0.73 | 0.77/0.69 |
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