So sánh phương pháp

	Sai số bình phương trung bình gốc (RMSE)	Hệ số xác định (R²)
Lĩnh vực	Đánh giá mô hình	Đánh giá mô hình
Họ	MCDM	MCDM
Năm ra đời	1809	1896
Người khởi xướng	Carl Friedrich Gauss	Karl Pearson
Loại	Distance-based evaluation metric	Goodness-of-fit metric
Công trình gốc	Gauss, C. F. (1809). Theoria Motus Corporum Coelestium in Sectionibus Conicis Solem Ambientium. Hamburg: Perthes and Besser.	Pearson, K. (1896). Mathematical contributions to the theory of evolution. Philosophical Transactions of the Royal Society A, 187, 253-318.
Tên gọi khác	RMSE, RMS error, quadratic mean error	R², coefficient of determination, r2 score
Liên quan	4	5
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.	The coefficient of determination, denoted R², measures the proportion of variance in the dependent variable explained by the independent variables in a regression model. Introduced by Karl Pearson in the late 19th century, R² is one of the most widely used metrics for assessing how well a model fits observed data.