Avoiding Overconfidence: The Role of Model Calibration in Machine Learning

Why is it necessary? In (supervised) ML projects, the aim of training a model is to find a model that can learn and estimate the outcomes. In the case of (binary) classification, typically the aim is to find out the occurrence of an event given a set...