Porovnat metody

	Přesnost	Brierovo skóre
Obor	Hodnocení modelů	Hodnocení modelů
Rodina	MCDM	MCDM
Rok vzniku	20th century	1950
Tvůrce	Historical statistical foundations	Glenn W. Brier
Typ	Evaluation metric	Loss function
Původní zdroj	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.
Další názvy	Overall Accuracy, Correct Classification Rate	Mean Squared Probability Error
Příbuzné	5	3
Shrnutí	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.