Reliability auditing of explanations for machine-learning-based intrusion detection systems
Among the high-performing models, XGBoost provided the strongest balance on IoT-ToN, while Random Forest provided the strongest balance on UNSW-NB15, and the reliability results show that high predictive performance does not automatically imply trustworthy explanations.