Vertaile menetelmiä

	Tarkkuus	Brierin pisteytys
Tieteenala	Mallien arviointi	Mallien arviointi
Menetelmäperhe	MCDM	MCDM
Syntyvuosi	20th century	1950
Kehittäjä	Historical statistical foundations	Glenn W. Brier
Tyyppi	Evaluation metric	Loss function
Alkuperäislähde	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.
Rinnakkaisnimet	Overall Accuracy, Correct Classification Rate	Mean Squared Probability Error
Liittyvät	5	3
Tiivistelmä	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.