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- Brier_score abstract "The Brier score is a proper score function that measures the accuracy of probabilistic predictions. It is applicable to tasks in which predictions must assign probabilities to a set of mutually exclusive discrete outcomes. The set of possible outcomes can be either binary or categorical in nature, and the probabilities assigned to this set of outcomes must sum to one (where each individual probability is in the range of 0 to 1). It was proposed by Glenn W. Brier in 1950.The Brier score can be thought of as either a measure of the "calibration" of a set of probabilistic predictions, or as a "cost function". More precisely, across all items in a set N predictions, the Brier score measures the mean squared difference between: The predicted probability assigned to the possible outcomes for item i The actual outcome Therefore, the lower the Brier score is for a set of predictions, the better the predictions are calibrated. Note that the Brier score, in its most common formulation, takes on a value between zero and one, since this is the largest possible difference between a predicted probability (which must be between zero and one) and the actual outcome (which can take on values of only 0 and 1). The original (1950) formulation of the Brier score, the range is double, from zero to two.The Brier score is appropriate for binary and categorical outcomes that can be structured as true or false, but is inappropriate for ordinal variables which can take on three or more values (this is because the Brier score assumes that all possible outcomes are equivalently "distant" from one another).".
- Brier_score wikiPageExternalLink browse?s=b&p=43.
- Brier_score wikiPageExternalLink brier%20score.html.
- Brier_score wikiPageID "2538987".
- Brier_score wikiPageRevisionID "606314758".
- Brier_score hasPhotoCollection Brier_score.
- Brier_score subject Category:Probability_assessment.
- Brier_score comment "The Brier score is a proper score function that measures the accuracy of probabilistic predictions. It is applicable to tasks in which predictions must assign probabilities to a set of mutually exclusive discrete outcomes. The set of possible outcomes can be either binary or categorical in nature, and the probabilities assigned to this set of outcomes must sum to one (where each individual probability is in the range of 0 to 1). It was proposed by Glenn W.".
- Brier_score label "Brier score".
- Brier_score sameAs m.07lsrj.
- Brier_score sameAs Q4967066.
- Brier_score sameAs Q4967066.
- Brier_score wasDerivedFrom Brier_score?oldid=606314758.
- Brier_score isPrimaryTopicOf Brier_score.