MCDMError metric
均方误差 (MSE)
均方误差是回归模型的基础损失函数，衡量预测值与观测值之间平均平方偏差。MSE源于高斯和勒让德的最小二乘法（1805-1809），是普通最小二乘回归的基础，并仍然是现代机器学习优化的核心。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Gauss, C. F. (1809). Theoria Motus Corporum Coelestium in Sectionibus Conicis Solem Ambientium. Hamburg: Perthes and Besser. link ↗
- Legendre, A. M. (1805). Nouvelles méthodes pour la détermination des orbites des comètes. Paris: F. Didot. link ↗
- Goodman, L. A. (1960). On the exact variance of products. Journal of the American Statistical Association, 55(292), 708-713. DOI: 10.1080/01621459.1960.10483369 ↗
如何引用本页
ScholarGate. (2026, June 3). Mean Squared Error. ScholarGate. https://scholargate.app/zh/model-evaluation/mean-squared-error
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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