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	精度	ブライアースコア
分野	モデル評価	モデル評価
系統	MCDM	MCDM
提唱年	20th century	1950
提唱者	Historical statistical foundations	Glenn W. Brier
種類	Evaluation metric	Loss function
原典	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.	Brier, G. W. (1950). Verification of forecasts expressed in terms of probability. Monthly Weather Review, 78(1), 1-3.
別名	Overall Accuracy, Correct Classification Rate	Mean Squared Probability Error
関連	5	3
概要	Accuracy is the proportion of correct predictions among the total number of predictions made by a classification model. It is the most intuitive performance metric and measures how often the classifier makes correct predictions overall, regardless of class.	The Brier score measures the mean squared difference between predicted probabilities and actual binary outcomes. It is a simple, interpretable metric for evaluating the accuracy of probabilistic predictions, particularly in weather forecasting and medical diagnosis.