Calibrating for Class Weights by Modeling Machine Learning

Andrew Caplin, Daniel Martin, Philip Marx

A much studied issue is the extent to which the confidence scores provided by machine learning algorithms are calibrated to ground truth probabilities. Our starting point is that c…