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Discover LudwigThe phrase "and a root mean squared error" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or machine learning when discussing the accuracy of a model or prediction.
Example: "The model's performance was evaluated using several metrics, including accuracy, precision, and a root mean squared error."
Alternatives: "and a RMSE" or "and a root mean square error value".
Exact(2)
The results showed that the best surrogate model integrated all five of the surrogate modelling methods, with an R2 value of 0.9913 and a root mean squared error of 0.0159, thereby demonstrating the advantage of using ensemble surrogates.
The developed model predicted test set molecules with a squared Pearson correlation coefficient (R2) of 0.73 ± 0.04 and a root mean squared error (RMSE) of 0.014 ± 0.001.
Similar(58)
A root mean square error of 0.6 °C was obtained.
RMSE – Root Mean Squared Error; R2 – square of the Pearson correlation coefficient.
RMSEA = Root Mean Squared Error of Approximation.
(a) Root-mean-square error of the time-delay estimations.
RMSEA = a Root-Mean-Square Error of Approximation.
These include mean absolute error (MAE), root mean square error (RMSE), and relative root mean square error (RMSE%).
Bias (mean prediction error) and imprecision (root mean square error) was calculated for each method.
Goodness-of-fit was examined by the mean absolute error (MAE) and the root mean square error (RMSE).
Equations were evaluated with the determination coefficient (R2) and the root mean square error (RMSE).
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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