Usporedite metode

	Brierov rezultat	Točnost
Područje	Evaluacija modela	Evaluacija modela
Obitelj	MCDM	MCDM
Godina nastanka	1950	20th century
Tvorac	Glenn W. Brier	Historical statistical foundations
Vrsta	Loss function	Evaluation metric
Temeljni izvor	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.
Drugi nazivi	Mean Squared Probability Error	Overall Accuracy, Correct Classification Rate
Srodne	3	5
Sažetak	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.