قارن الطرق

	الدقة	درجة برير
المجال	تقييم النماذج	تقييم النماذج
العائلة	MCDM	MCDM
سنة النشأة	20th century	1950
صاحب الطريقة	Historical statistical foundations	Glenn W. Brier
النوع	Evaluation metric	Loss function
المصدر التأسيسي	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.
الأسماء البديلة	Overall Accuracy, Correct Classification Rate	Mean Squared Probability Error
ذات صلة	5	3
الملخص	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.