Malware Classification on CICMalDroid 2020 (test)
96Adware AccuracyMahdavifar, et al.
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Mahdavifar, et al.reference=[9]2026.05 | 96 | 96 | 99 | 95 | 95 | |
| Random Forestapproach=VAE-based synthetic data augmentation2026.05 | 94.33 | 91.3 | 99.34 | 93.91 | 94.28 | |
| Random Forestreference=[7]2026.05 | 93.09 | 89.23 | 98.78 | 91.39 | 93.6 | |
| XGBoostapproach=VAE-based synthetic data augmentation2026.05 | 92.77 | 92.57 | 98.98 | 94.68 | 95.06 | |
| XGBoostreference=[7]2026.05 | 92.28 | 91.15 | 99.14 | 92.56 | 93.29 | |
| Mahdavifar, et al.reference=[8]2026.05 | 85 | 96 | 100 | 98 | 98 | |
| Sequential Modelapproach=VAE-based synthetic data augmentation2026.05 | 82.82 | 85.38 | 97.71 | 84.6 | 81.9 | |
| Sequential Modelreference=[7]2026.05 | 80.49 | 83.97 | 96.7 | 79.65 | 73.17 |