Krahasoni metodat

	Log-Loss (Kryqi i Entropisë Kryqëzuar)	Rezultati Brier
Fusha	Vlerësimi i modeleve	Vlerësimi i modeleve
Familja	MCDM	MCDM
Viti i origjinës	1990s	1950
Krijuesi	Information theory and machine learning literature	Glenn W. Brier
Lloji	Loss function	Loss function
Burimi themelues	Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.	Brier, G. W. (1950). Verification of forecasts expressed in terms of probability. Monthly Weather Review, 78(1), 1-3.
Emërtime të tjera	Cross-Entropy Loss, Logloss	Mean Squared Probability Error
Të lidhura	3	3
Përmbledhja	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.	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.