방법 비교

	Brier Score	정확도
분야	모델 평가	모델 평가
계열	MCDM	MCDM
기원 연도	1950	20th century
창시자	Glenn W. Brier	Historical statistical foundations
유형	Loss function	Evaluation metric
원전	Brier, G. W. (1950). Verification of forecasts expressed in terms of probability. Monthly Weather Review, 78(1), 1-3.	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.
별칭	Mean Squared Probability Error	Overall Accuracy, Correct Classification Rate
관련	3	5
요약	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.	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.