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決定係数 (R²)×平均絶対誤差 (MAE)×
分野モデル評価モデル評価
系統MCDMMCDM
提唱年18961799
提唱者Karl PearsonPierre-Simon Laplace
種類Goodness-of-fit metricRobust distance-based metric
原典Pearson, K. (1896). Mathematical contributions to the theory of evolution. Philosophical Transactions of the Royal Society A, 187, 253-318. link ↗Laplace, P. S. (1799). Traité de Mécanique Céleste. Paris: J.B.M. Duprat. link ↗
別名R², coefficient of determination, r2 scoreMAE, L1 error, mean absolute deviation
関連53
概要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.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.
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ScholarGate手法を比較: R-squared · Mean Absolute Error. 2026-06-15に以下より取得 https://scholargate.app/ja/compare