Sampling Strategies and Metric Sensitivity in Imbalanced Predictive Maintenance: A Comparative Study with Ensemble Methods
This study presents a systematic comparative analysis of class balancing strategies for predictive maintenance of industrial equipment using the AI4I 2020 Predictive Maintenance Dataset, which comprises 10,000 samples with a severe class imbalance of 3.4% failure instances. Two tree-based ensemble classifiers, Random F...