विधियों की तुलना करें

	सटीकता	ब्रायर स्कोर
क्षेत्र	मॉडल मूल्यांकन	मॉडल मूल्यांकन
परिवार	MCDM	MCDM
उद्भव वर्ष	20th century	1950
प्रवर्तक	Historical statistical foundations	Glenn W. Brier
प्रकार	Evaluation metric	Loss function
मौलिक स्रोत	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.
उपनाम	Overall Accuracy, Correct Classification Rate	Mean Squared Probability Error
संबंधित	5	3
सारांश	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.