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"root mean square error" is a correct and usable phrase in written English.
It is commonly used in mathematical and statistical contexts, particularly in data analysis and prediction, to describe the difference between observed values and predicted values. Example: The root mean square error for the model was 2.5, indicating a relatively low level of prediction error.
Exact(58)
Root mean square error was found out as 1.56.
Averaged root mean square error.
Normalize root mean square error.
Normalized root mean square error.
The root mean square error.
root mean square error from cross validation.
Root mean square error of aproximation.
Root mean square error SN: Serial number.
root mean square error in prediction.
Similar(2)
Root-mean square error (RMSE).
Root-mean-square error.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com