Tomorrow, Ewen Gallic will present some recent work at the StatQAM statistical seminar, on calibration, with Agathe Fernandes Machado, François Hu, and Emmanuel Flachaire. It will substantially be based on our recent paper From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration The assessment of binary classifier performance traditionally centers on discriminative ability using metrics, such as accuracy. However, these metrics often disregard the model’s inherent uncertainty, especially when dealing with sensitive decision-making domains, such as …