Table 5 performance evaluation of ecaps-net using five-fold cross-validation.
Datasets | Evaluation Metrics | Fold-1 | Fold-2 | Fold-3 | Fold-4 | Fold-5 | Mean ± SD |
|---|---|---|---|---|---|---|---|
KDD Cup 99 dataset | Accuracy | 98.85 | 98.92 | 98.88 | 98.95 | 98.88 | 98.90 ± 0.04 |
Precision | 98.72 | 98.80 | 98.76 | 98.83 | 98.78 | 98.78 ± 0.04 | |
Recall | 98.60 | 98.68 | 98.63 | 98.70 | 98.65 | 98.65 ± 0.04 | |
Sensitivity | 98.50 | 98.58 | 98.54 | 98.60 | 98.55 | 98.55 ± 0.04 | |
F-Score | 98.45 | 98.50 | 98.47 | 98.50 | 98.48 | 98.48 ± 0.03 | |
UNSW-NB 15 dataset | Accuracy | 98.82 | 98.75 | 98.68 | 98.90 | 98.85 | 98.80 ± 0.09 |
Precision | 98.76 | 98.70 | 98.68 | 98.78 | 98.74 | 98.73 ± 0.05 | |
Recall | 98.62 | 98.50 | 98.55 | 98.65 | 98.58 | 98.58 ± 0.06 | |
Sensitivity | 98.55 | 98.45 | 98.50 | 98.58 | 98.52 | 98.52 ± 0.05 | |
F-Score | 98.42 | 98.38 | 98.35 | 98.45 | 98.40 | 98.40 ± 0.04 |
