Scoring rule

Abstract

In decision theory, a scoring rule provides a summary measure for the evaluation of probabilistic predictions or forecasts. It is applicable to tasks in which predictions assign probabilities to events, i.e. one issues a probability distribution F as prediction. This includes probabilistic classification of a set of mutually exclusive outcomes or classes.