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MCDMError metric

平均绝对误差 (MAE)

平均绝对误差是一种稳健的度量指标,用于衡量回归模型中预测误差的平均绝对大小。追溯到皮埃尔-西蒙·拉普拉斯(Pierre-Simon Laplace)在观测误差方面的工作(1799年),MAE通过平均观测值与预测值之间的绝对差值,量化了典型的预测偏差。

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Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Laplace, P. S. (1799). Traité de Mécanique Céleste. Paris: J.B.M. Duprat. link
  2. Brossier, C. L. (1999). Consistency of trimmed and Winsorized L-estimators of location and scale. Journal of the American Statistical Association, 74(368), 813-821. link
  3. Huber, P. J. (2009). Robust Statistics (2nd ed.). Hoboken, NJ: John Wiley & Sons. ISBN: 978-0470129906

如何引用本页

ScholarGate. (2026, June 3). Mean Absolute Error. ScholarGate. https://scholargate.app/zh/model-evaluation/mean-absolute-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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被引用于

ScholarGateMean Absolute Error (Mean Absolute Error). 于 2026-06-15 检索自 https://scholargate.app/zh/model-evaluation/mean-absolute-error · 数据集: https://doi.org/10.5281/zenodo.20539026