Comparar métodos

	Erro Quadrático Médio da Raiz (RMSE)	Erro Médio Absoluto (MAE)
Área	Avaliação de modelos	Avaliação de modelos
Família	MCDM	MCDM
Ano de origem	1809	1799
Autor original	Carl Friedrich Gauss	Pierre-Simon Laplace
Tipo	Distance-based evaluation metric	Robust distance-based metric
Fonte seminal	Gauss, C. F. (1809). Theoria Motus Corporum Coelestium in Sectionibus Conicis Solem Ambientium. Hamburg: Perthes and Besser.	Laplace, P. S. (1799). Traité de Mécanique Céleste. Paris: J.B.M. Duprat.
Outros nomes	RMSE, RMS error, quadratic mean error	MAE, L1 error, mean absolute deviation
Relacionados	4	3
Resumo	Root Mean Squared Error is a widely used metric that measures the average magnitude of prediction errors in regression models. Originating from Carl Friedrich Gauss's work on least-squares estimation (1809), RMSE quantifies how far predictions deviate from observed values by averaging the squared differences and taking the square root.	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.