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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 • 706 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.
  • 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.
  • 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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