Research Article
Intrusion Detection Systems Based on Logarithmic Autoencoder and XGBoost
Table 4
Ablation experiment: comparison between LogAE-XGBoost and XGBoost
| Data set | Classifier | Accuracy | Precision | Recall | F1-score |
| UNSW-NB15 | LogAE-XGBoost | 0.9511 | 0.9549 | 0.9743 | 0.9645 | XGBoost | 0.9023 | 0.9874 | 0.8676 | 0.9236 | CICIDS2017 | LogAE-XGBoost | 0.9992 | 0.9971 | 0.9986 | 0.9979 | XGBoost | 0.9943 | 0.9922 | 0.9930 | 0.9925 |
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