قارن الطرق

	درجة برير	خسارة اللوغاريتم (خسارة الإنتروبيا المتقاطعة)
المجال	تقييم النماذج	تقييم النماذج
العائلة	MCDM	MCDM
سنة النشأة	1950	1990s
صاحب الطريقة	Glenn W. Brier	Information theory and machine learning literature
النوع	Loss function	Loss function
المصدر التأسيسي	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.
الأسماء البديلة	Mean Squared Probability Error	Cross-Entropy Loss, Logloss
ذات صلة	3	3
الملخص	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.