Table 6 K-fold cross-validation results for NSL-KDD dataset.
From: A CE-GAN based approach to address data imbalance in network intrusion detection systems
K-fold | PRD | RMSE | MAE |
|---|---|---|---|
K=5 | 66.7114 | 0.2328 | 0.1484 |
K=10 | 63.1088 | 0.2011 | 0.1207 |
K=15 | 64.7221 | 0.1938 | 0.1201 |
K=20 | 61.5818 | 0.1817 | 0.1132 |
K=25 | 65.8103 | 0.1729 | 0.1298 |
Avg | 64.3868 | 0.1964 | 0.1264 |
