Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the...
Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature
About this item
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Author / Creator
Publisher
Copernicus Publications
Journal title
Language
English
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Publication information
Publisher
Copernicus Publications
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Scope and Contents
Contents
Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be a misleading indicator of average error, and thus the MAE would be a better metric for that purpose....
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Full title
Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_6bf18970a5de4497ae44d7dd210fec3b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6bf18970a5de4497ae44d7dd210fec3b
Other Identifiers
ISSN
1991-9603,1991-959X
E-ISSN
1991-9603
DOI
10.5194/gmd-7-1247-2014
