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the RMSE of vs the RMSE=

Both phrases are correct, but they are used in different contexts. 'The RMSE of' is used when specifying what the RMSE is for, while 'the RMSE=' is used when assigning a specific value to the RMSE.

Last updated: March 17, 2024 • 693 views

the RMSE of

This phrase is correct and commonly used in English.

This phrase is used when specifying what the RMSE (Root Mean Square Error) is for a particular dataset or model.

Examples:

The RMSE of the model on the test dataset is 0.05.

Show examples from the web [+]

Feb 5, 2014 ... What is the RMSE of k-Fold Cross Validation? up vote 2 down vote favorite. I am testing a neural net to predict numeric values. For that i am ...
Apr 21, 2012 ... What is the RMSE of k-Fold Cross Validation? 2 · What do I call a set of datasets · 5 · What does “Conditioning on the margins of ____” mean?
[EDIT: 20110610 00:17 CDT - reformat - WDR]. So i was looking online how to check the RMSE of a line. found many option, but I am stumble about something,.
V. Fortin, M. Abaza, F. Anctil, and R. Turcotte, 2014: Why Should Ensemble Spread Match the RMSE of the Ensemble Mean?. J. Hydrometeor, 15, 1708– 1713.

Alternatives:

the root mean square error of

the RMSE=

This phrase is correct and commonly used in English.

This phrase is used when assigning a specific value to the RMSE (Root Mean Square Error).

Examples:

The RMSE=0.05 indicates a good fit of the model.

Show examples from the web [+]

When the RMSD is normalized by the mean measured value, is usually called coefficient of variation of the RMSE, CV(RMSE). It is analogous to the coefficient of ...
... has the same units as the quantity being estimated; for an unbiased estimator, the RMSE is the square root of the variance, known as the standard deviation.
Jun 30, 2014 ... (2009). The RMSE is more appropriate to represent model perfor- mance than the MAE when the error distribution is expected to be Gaussian.
The RMSE of a model prediction with respect to the estimated variable Xmodel is defined as the square root of the mean squared error: where Xobs is observed ...

Alternatives:

the RMSE is
the RMSE equals
the RMSE value is

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