Research Article
Feature Selection Based on Cross-Correlation for the Intrusion Detection System
Table 5
Comparison of the MIFS, CFA, and CCFS methods for DT, SVM, KNN, and NB classifiers on the AWID dataset with 84 features.
| AWID (84 features) | Classification method | MIFS | CFS | CCFS | DT | SVM | KNN | NB | DT | SVM | KNN | NB | DT | SVM | KNN | NB |
| Accuracy | 95.46 | 95.84 | 96.32 | 94.08 | 97.21 | 96.02 | 96.97 | 94.79 | 98.42 | 96.75 | 97.84 | 95.53 | Precision | 95.70 | 95.87 | 96.39 | 94.15 | 97.61 | 96.03 | 96.99 | 94.95 | 98.49 | 96.51 | 97.87 | 95.55 | Recall | 95.96 | 95.28 | 96.35 | 93.47 | 96.87 | 96.03 | 96.10 | 95.92 | 98.35 | 96.51 | 97.87 | 96.08 | F1-score | 95.83 | 95.57 | 96.37 | 93.81 | 97.23 | 96.03 | 96.54 | 95.43 | 98.42 | 96.51 | 97.87 | 95.81 |
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