Compară metode

	Acuratețe	Scorul Brier
Domeniu	Evaluarea modelelor	Evaluarea modelelor
Familie	MCDM	MCDM
Anul apariției	20th century	1950
Autorul original	Historical statistical foundations	Glenn W. Brier
Tip	Evaluation metric	Loss function
Sursa seminală	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.
Denumiri alternative	Overall Accuracy, Correct Classification Rate	Mean Squared Probability Error
Înrudite	5	3
Rezumat	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.