Which machine learning technique first enabled transportation companies to predict vehicle component failures with over 90% accuracy, revolutionizing preventive maintenance schedules?

The transportation industry has been transformed by advanced analytics and AI technologies in recent years. From predicting maintenance needs to optimizing routes and analyzing customer sentiment, data-driven approaches have changed how transportation companies operate and make decisions. This trivia question focuses on a significant machine learning breakthrough that revolutionized fleet management and predictive maintenance in the transportation sector.

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

Gradient Boosting Decision Trees (specifically XGBoost models trained on multivariate sensor data)
Simple linear regression models analyzing historical maintenance records
Rule-based expert systems with manually configured thresholds
Basic neural networks trained only on engine temperature and mileage