Research Article
Empirical Evaluation of Noise Influence on Supervised Machine Learning Algorithms Using Intrusion Detection Datasets
Pseudocode 1
The first set of experiments (baseline experiment).
(1) | Load the training portion of the intrusion dataset | (2) | Convert the label values from numeric to nominal (only for the UNSW-NB15) | (3) | Train the ML algorithm on the training dataset | (4) | Run the ML algorithm on the testing dataset | (5) | Document the results | (6) | Revert to step 3 using the other ML algorithms |
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