Time-Aware Validation of Machine Learning Fuel Consumption Models: Evidence from 1\,Hz Operational Data, CCGS \textit{Sir Wilfrid Laurier}

Key Takeaway

When validating ML models on time-series data like operational sensor readings, use time-aware cross-validation instead of random splits—random splits create unrealistic performance estimates that won't hold in real deployment.