The Overlooked Role of Uncertainty in Machine Learning Predictions: A Systematic Review
Uncertainty estimate is redefined as essential to machine learning performance rather than as a byproduct, and a systematic research program centered on unified theoretical frameworks, uniform evaluation procedures, domain-sensitive calibration, and scalable uncertainty-aware structures is suggested.