Empirical Evaluation of Noise Influence on Supervised Machine Learning Algorithms Using Intrusion Detection Datasets

<div>The accuracy results after applying the ensemble of classifiers learning method. (a) NSL-KDD. (b) UNSW-NB15.</div>

Security and Communication Networks

Figure 15: Empirical Evaluation of Noise Influence on Supervised Machine Learning Algorithms Using Intrusion Detection Datasets 