Thomas G. Dietterich
Distinguished Professor (Emeritus)
Oregon State University

A predictive model is well-calibrated if the probabilities that it predicts match the probability that it is correct. This lecture will summarize our current understanding of how to get calibrated probabilities out of machine-learned models.