Table 1 Performance of the different classifiers in the proposed model in terms of F1-score, FRP, Recall, Precision, and Accuracy on five classes
From: Practical autoencoder based anomaly detection by using vector reconstruction error
F1-score | FPR | Recall | Precision | Accuracy | Class |
|---|---|---|---|---|---|
100 | 0 | 100 | 100 | 100 | Normal |
99.941 | 0.008 | 100 | 99.882 | 99.993 | Attacker |
99.906 | 0.007 | 100 | 99.813 | 99.992 | Victim |
99.781 | 0.125 | 100 | 99.562 | 99.903 | Unknown |
80.540 | 85.699 | 100 | 67.42 | 69.1 | Suspicious |