Cost Sensitive Machine Learning for Rare Failure Prediction: Balancing Missed Failures and False Maintenance Alarms
Rare machine failures pose a difficult predictive-maintenance challenge because extreme class imbalance can result in deceptively high classification accuracy while disguising missed failures and the operational overhead of false alarms. The AI4I 2020 Predictive Maintenance Dataset is applied in this study to develop a...