Sammenlign metoder

	Brier Score	Nøyaktighet
Fagfelt	Modellevaluering	Modellevaluering
Familie	MCDM	MCDM
Opprinnelsesår	1950	20th century
Opphavsperson	Glenn W. Brier	Historical statistical foundations
Type	Loss function	Evaluation metric
Opprinnelig kilde	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.
Alias	Mean Squared Probability Error	Overall Accuracy, Correct Classification Rate
Relaterte	3	5
Sammendrag	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.