Cross-Validation Bias in Predictive Maintenance: A Leakage-Resilient Benchmark
Predictive maintenance for urban electric transport fleets operates under severe class imbalance, where equipment failures are rare but individually costly. According to a benchmarking study of thirty classical, boosting, and deep tabular models conducted on an anonymised multi-modal fleet dataset comprising trams, trolleybuses, and electric buses, reported optimization gains are frequently artifacts of cross-validation optimism … Read more