Krahasoni metodat

	Mesatarja absolute e gabimit (MAE)	Gabimi Mesatar Katror (MSE)
Fusha	Vlerësimi i modeleve	Vlerësimi i modeleve
Familja	MCDM	MCDM
Viti i origjinës	1799	1809
Krijuesi	Pierre-Simon Laplace	Carl Friedrich Gauss
Lloji	Robust distance-based metric	Squared-error loss function
Burimi themelues	Laplace, P. S. (1799). Traité de Mécanique Céleste. Paris: J.B.M. Duprat.	Gauss, C. F. (1809). Theoria Motus Corporum Coelestium in Sectionibus Conicis Solem Ambientium. Hamburg: Perthes and Besser.
Emërtime të tjera	MAE, L1 error, mean absolute deviation	MSE, L2 error, quadratic error
Të lidhura	3	4
Përmbledhja	Mean Absolute Error is a robust metric that measures the average absolute magnitude of prediction errors in regression models. Dating back to Pierre-Simon Laplace's work on observational errors (1799), MAE quantifies typical prediction deviation by averaging the absolute differences between observed and predicted values.	Mean Squared Error is the foundational loss function for regression models, measuring the average squared deviation between predictions and observations. Originating from Gauss and Legendre's method of least squares (1805-1809), MSE is the basis for ordinary least squares regression and remains central to modern machine learning optimization.