Information-based evaluation criterion for classifier's performance

Abstract

Describes a nice metric for estimating classifier performance that enables fair comparison of classifiers given training data with varying prior probabilities - even when the classifiers produce different forms of answers (e.g. categorical predictions versus probability distributions)