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Brier Score#

Brier Score is a strictly proper scoring metric that is equivalent to applying mean squared error to the probabilities of a probabilistic estimator.


In order to maintain the convention of maximizing validation scores, this metric outputs the negative of the original score.

Estimator Compatibility: Probabilistic Classifier

Score Range: -2 to 0


This metric does not have any parameters.


use Rubix\ML\CrossValidation\Metrics\BrierScore;

$metric = new BrierScore();


  1. G. W. Brier. (1950). Verification of Forecasts Expresses in Terms of Probability.