Research Article
Feature Selection Based on Cross-Correlation for the Intrusion Detection System
Table 8
Improvement percentage of the CCFS method over MIFS and CFS methods for DT, SVM, KNN, and ND classifiers on the CIC-IDS2017 dataset.
| CIC-IDS2017 (78 features) | Classification method | CCFS improvement versus MIFS (%) | CCFS improvement versus CFA (%) | Accuracy | Precision | Recall | F1-score | Accuracy | Precision | Recall | F1-score |
| DT | 2.80 | 4.07 | 3.70 | 3.88 | 1.07 | 1.61 | 1.25 | 1.43 | SVM | 2.85 | 3.27 | 3.29 | 3.28 | 1.15 | 1.69 | 0.67 | 1.18 | KNN | 2.55 | 3.12 | 3.12 | 3.12 | 0.73 | 1.09 | 0.75 | 0.92 | NB | 2.46 | 2.13 | 2.12 | 2.13 | 1.83 | 1.65 | 1.05 | 1.35 |
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