Kaoutar Bizmour

Cost Sensitive Machine Learning for Rare Failure Prediction: Balancing Missed Failures and False Maintenance Alarms

The proposed framework moves rare-failure evaluation away from accuracy centered model selection and toward interpretable FN-FP operating points that explicitly link probabilistic predictions with maintenance priorities and provide a transparent basis for selecting deployment thresholds in industrial predictive mainten...