Methoden vergelijken

	Nauwkeurigheid	Brier Score
Vakgebied	Modelevaluatie	Modelevaluatie
Familie	MCDM	MCDM
Jaar van ontstaan	20th century	1950
Grondlegger	Historical statistical foundations	Glenn W. Brier
Type	Evaluation metric	Loss function
Oorspronkelijke bron	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.
Aliassen	Overall Accuracy, Correct Classification Rate	Mean Squared Probability Error
Verwant	5	3
Samenvatting	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.