Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance

Cort J Willmott, K. M. (2005). Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance.

Type

Unclassified

Intellectual base

Unclassified

Year

2005

DOI

10.3354/cr030079

Link

https://doi.org/10.3354/cr030079

Cited by

1 citation across 1 artifact.

Domain-specific

• Mean absolute error
  • For residuals e_i=y_i−ŷ_i, MAE equals n^{-1}Σ|e_i| or a declared weighted analogue, retaining the response unit and penalizing deviations linearly.

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