Research Article
Feature Selection Based on Cross-Correlation for the Intrusion Detection System
Table 6
Improvement percentage of the CCFS method over MIFS and CFS methods for DT, SVM, KNN, and ND classifiers on the AWID dataset.
| AWID (84 features) | Classification method | CCFS improvement versus MIFS (%) | CCFS improvement versus CFA (%) | Accuracy | Precision | Recall | F1-score | Accuracy | Precision | Recall | F1-score |
| DT | 3.10 | 2.92 | 2.49 | 2.71 | 1.24 | 0.91 | 1.53 | 1.22 | SVM | 0.95 | 0.66 | 1.30 | 0.98 | 0.76 | 0.50 | 0.50 | 0.50 | KNN | 1.58 | 1.53 | 1.58 | 1.56 | 0.90 | 0.91 | 1.84 | 1.38 | NB | 1.54 | 1.49 | 2.79 | 2.14 | 0.78 | 0.63 | 0.16 | 0.40 |
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