Research Article
Empirical Evaluation of Noise Influence on Supervised Machine Learning Algorithms Using Intrusion Detection Datasets
Pseudocode 6
The sixth set of experiments (ensemble of classifiers).
| (1) | Load the training portion of the intrusion dataset | | (2) | Convert the label values from numeric to nominal (only for the UNSW-NB15) | | (3) | Initialize the ensemble learning method (bagging-boosting) | | (4) | Use an ML algorithm as a base classifier | | (5) | Train the ensemble of classifiers on the dataset | | (6) | Test the ensemble of classifiers on the test dataset | | (7) | Document the results | | (8) | Revert to step 3 until each ML algorithms is used with both ensemble learning methods |
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