Сравнение методов

	Оценка Бриера	Точность
Область	Оценка моделей	Оценка моделей
Семейство	MCDM	MCDM
Год появления	1950	20th century
Автор метода	Glenn W. Brier	Historical statistical foundations
Тип	Loss function	Evaluation metric
Основополагающий источник	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.
Другие названия	Mean Squared Probability Error	Overall Accuracy, Correct Classification Rate
Связанные	3	5
Сводка	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.