مقایسهٔ روش‌ها

	امتیاز بریر	زیان لگاریتمی (زیان آنتروپی متقاطع)
حوزه	ارزیابی مدل	ارزیابی مدل
خانواده	MCDM	MCDM
سال پیدایش	1950	1990s
پدیدآور	Glenn W. Brier	Information theory and machine learning literature
نوع	Loss function	Loss function
منبع بنیادین	Brier, G. W. (1950). Verification of forecasts expressed in terms of probability. Monthly Weather Review, 78(1), 1-3.	Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
نام‌های دیگر	Mean Squared Probability Error	Cross-Entropy Loss, Logloss
مرتبط	3	3
خلاصه	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.	Log-loss measures the difference between predicted probabilities and actual labels, penalizing confident wrong predictions more than uncertain ones. It is a standard loss function in machine learning optimization and evaluates probabilistic classifier calibration.