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| R平方 (R²)× | 平均绝对误差 (MAE)× | |
|---|---|---|
| 领域 | 模型评估 | 模型评估 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 1896 | 1799 |
| 提出者≠ | Karl Pearson | Pierre-Simon Laplace |
| 类型≠ | Goodness-of-fit metric | Robust distance-based metric |
| 开创性文献≠ | 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 ↗ |
| 别名 | R², coefficient of determination, r2 score | MAE, L1 error, mean absolute deviation |
| 相关≠ | 5 | 3 |
| 摘要≠ | 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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