So sánh phương pháp

	Sai số bình phương trung bình gốc (RMSE)	Sai số Tuyệt đối Trung bình (MAE)
Lĩnh vực	Đánh giá mô hình	Đánh giá mô hình
Họ	MCDM	MCDM
Năm ra đời	1809	1799
Người khởi xướng	Carl Friedrich Gauss	Pierre-Simon Laplace
Loại	Distance-based evaluation metric	Robust distance-based metric
Công trình gốc	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.
Tên gọi khác	RMSE, RMS error, quadratic mean error	MAE, L1 error, mean absolute deviation
Liên quan	4	3
Tóm tắt	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.