RMSE of vs RMSE equal to

Both phrases are correct, but they are used in different contexts. 'RMSE of' is commonly used when referring to the root mean square error of a specific dataset or model, while 'RMSE equal to' is used when stating the value of the RMSE. They are not directly comparable as they serve different purposes.

Last updated: March 17, 2024 • 938 views

This phrase is correct and commonly used when referring to the root mean square error of a specific dataset or model.

"RMSE of "

This phrase is used to indicate the root mean square error of a particular dataset or model. It is followed by the dataset or model name.

Examples:

The RMSE of the training set is 0.25.
What is the RMSE of the regression model?
Calculate the RMSE of the test data.

Show examples from the web [+]

Apr 16, 2013 ... For a datum which ranges from 0 to 1000, an RMSE of 0.7 is small, but if the range goes from 0 to 1, it is not that small anymore. However ...
[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,.
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 ...
You read that a set of temperature forecasts shows a MAE of 1.5 degrees and a RMSE of 2.5 degrees. What does this mean? Choose the best answer: ...

Alternatives:

RMSE for
RMSE in relation to
RMSE on

This phrase is correct and commonly used when stating the value of the RMSE.

"RMSE equal to"

This phrase is used to explicitly state the value of the root mean square error. It is followed by the numerical value of the RMSE.

Examples:

The RMSE equal to 0.25 indicates a good fit.
The model's RMSE equal to 0.1 is considered very low.
RMSE equal to 1.5 is acceptable in this context.

Show examples from the web [+]

The Jensen-Haise equation presented the highest RMSE (equal to 1.63 mm.day- 1) with a relative error over 40% and an index of agreement equal to 0.84.
Second best result was obtained for SMO Regression Method with Radial Basis Function kernel (RMSE equal to 25,97 and correlation coefficient of 0,9813).
point in the Ohio-Mississippi model with a percent RMSE equal to 7.9). The range of actual RMSE values (not shown) is from 0.2 to 1.57 ft (excluding the same.
The most accurate BRM standard was found for the abdominal examination station (RMSE equal to 0.98) while the least accurate standard was found for the ...

Alternatives:

RMSE is
RMSE value of
RMSE at

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RMSE of vs RMSE equal to

"RMSE of "

"RMSE equal to"

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