ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
364
views
0
references
Top references
cited by
431
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
1,729
similar
All similar
Record
: found
Abstract
: not found
Article
: not found
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
Author(s):
CJ Willmott
,
K Matsuura
Publication date
Created:
2005
Publication date
(Print):
2005
Journal:
Climate Research
Publisher:
Inter-Research Science Center
Read this article at
ScienceOpen
Publisher
Further versions
open (via free pdf)
Powered by
Review
Review article
Invite someone to review
Bookmark
Cite as...
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
COOL Knowledge Series
Author and article information
Journal
Title:
Climate Research
Abbreviated Title:
Clim. Res.
Publisher:
Inter-Research Science Center
ISSN (Print):
0936-577X
ISSN (Electronic):
1616-1572
Publication date Created:
2005
Publication date (Print):
2005
Volume
: 30
Issue
:
Pages
: 79-82
Article
DOI:
10.3354/cr030079
SO-VID:
447edd89-0b09-4b6a-bfc0-e36065883209
Copyright ©
© 2005
History
Data availability:
Comments
Comment on this article
Sign in to comment
scite_
Similar content
1,729
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
Authors:
C.J. Willmott
,
K Matsuura
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
Authors:
C.J. Willmot
,
K. Matsuura
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
Authors:
C.J. Willmott
,
K Matsuura
See all similar
Cited by
635
Predictive model assessment in PLS-SEM: guidelines for using PLSpredict
Authors:
Galit Shmueli
,
Marko Sarstedt
,
Joseph Hair
…
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
Authors:
Davide Chicco
,
Matthijs Warrens
,
Giuseppe Jurman
A refined index of model performance
Authors:
Kenji Matsuura
,
Cort Willmott
,
Scott M. Robeson
See all cited by