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- Scoring_rule abstract "In decision theory, a score function, or scoring rule, 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). A score can be thought of as either a measure of the "calibration" of a set of probabilistic predictions, or as a "cost function" or "loss function".If a cost is levied in proportion to a proper scoring rule, the minimal expected cost corresponds to reporting the true set of probabilities. Proper scoring rules are used in meteorology, finance, and pattern classification where a forecaster or algorithm will attempt to minimize the average score to yield refined, calibrated probabilities (i.e. accurate probabilities). Various scoring rules have also been used to assess the predictive accuracy of football forecast models.".
- Scoring_rule thumbnail LogScore.png?width=300.
- Scoring_rule wikiPageExternalLink scoring_rules_experiential_learning.pdf.
- Scoring_rule wikiPageExternalLink ?p=963.
- Scoring_rule wikiPageExternalLink 1402448?uid=16779064&uid=3737864&uid=2129&uid=2&uid=70&uid=16734048&uid=3&uid=67&uid=62&sid=21101527707467.
- Scoring_rule wikiPageExternalLink tr463.pdf.
- Scoring_rule wikiPageExternalLink tr551.pdf.
- Scoring_rule wikiPageID "4079010".
- Scoring_rule wikiPageRevisionID "601320200".
- Scoring_rule hasPhotoCollection Scoring_rule.
- Scoring_rule subject Category:Decision_theory.
- Scoring_rule subject Category:Probability_assessment.
- Scoring_rule comment "In decision theory, a score function, or scoring rule, 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).".
- Scoring_rule label "Scoring rule".
- Scoring_rule label "Scoring rule".
- Scoring_rule sameAs Scoring_rule.
- Scoring_rule sameAs m.0bgznr.
- Scoring_rule sameAs Q2260590.
- Scoring_rule sameAs Q2260590.
- Scoring_rule wasDerivedFrom Scoring_rule?oldid=601320200.
- Scoring_rule depiction LogScore.png.
- Scoring_rule isPrimaryTopicOf Scoring_rule.
