Порівняння методів

	Точність	Оцінка Брієра
Галузь	Оцінювання моделей	Оцінювання моделей
Родина	MCDM	MCDM
Рік появи	20th century	1950
Автор методу	Historical statistical foundations	Glenn W. Brier
Тип	Evaluation metric	Loss function
Основоположне джерело	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.
Інші назви	Overall Accuracy, Correct Classification Rate	Mean Squared Probability Error
Пов'язані	5	3
Підсумок	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.