Alon Arad

Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques

Accurate and reliable probability predictions are essential for multi-class supervised learning tasks, where well-calibrated models enable rational decision-making. While isotonic regression has proven effective for binary calibration, its extension to multi-class problems via one-vs-rest calibratio…