Krahasoni metodat

	Rezultati Brier	Log-Loss (Kryqi i Entropisë Kryqëzuar)
Fusha	Vlerësimi i modeleve	Vlerësimi i modeleve
Familja	MCDM	MCDM
Viti i origjinës	1950	1990s
Krijuesi	Glenn W. Brier	Information theory and machine learning literature
Lloji	Loss function	Loss function
Burimi themelues	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.
Emërtime të tjera	Mean Squared Probability Error	Cross-Entropy Loss, Logloss
Të lidhura	3	3
Përmbledhja	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.