as the root mean square error of the vs as the root mean square error of prediction

Both phrases are correct, but they are used in slightly different contexts. 'As the root mean square error of the' is commonly used when discussing the error of a model or a measurement, while 'as the root mean square error of prediction' is more specific and is used when referring to the error of a prediction or forecast. The choice between the two depends on the context in which you are discussing the error.

Last updated: March 17, 2024 • 558 views

as the root mean square error of the

This phrase is correct and commonly used when discussing the error of a model or a measurement.

This phrase is typically used when referring to the root mean square error of a model or a measurement.

Show examples from the web [+]

The TLE was calculated as the root-mean-square error of the difference between Pt and Pe calculated for each fraction. First, we compared the TLE of the first ...
defined as the root mean square error of the growth model against the data (log CFU per gram versus time) used to parameterize the model and the standard ...
point, as well as global measures such as the root mean square error of the differences (RMSE). It is helpful to have guidelines to aid in interpretation of the ...
This statistic is defined as the root mean square error of the forecast divided by the root mean square error of a no-change forecast-2i The purpose in presenting ...

Alternatives:

as the root mean square error of the data
as the root mean square error of the sample

as the root mean square error of prediction

This phrase is also correct and is more specific, used when referring to the error of a prediction or forecast.

This phrase is specifically used when discussing the root mean square error of a prediction or forecast.

Show examples from the web [+]

Apr 14, 2010 ... Cross-validated performance statistics, such as the root mean square error of prediction (RMSEP) and the coefficient of determination (r 2) ...
pressed as the root mean square error of prediction (RMSEP), were improved by up to 36% for protein, up to 55% for fat, and up to 37% for water, in comparison ...
the jth sample and xj is the average result of the jth sample. Accuracy is expressed as the root mean square error of prediction (RMSEP) and is calculated as.
Jul 15, 2014 ... as the root mean square error of prediction (RMSEP), which is an approximation of the average prediction error for the validation samples ...

Alternatives:

as the root mean square error of the forecast
as the root mean square error of the estimation

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as the root mean square error of the vs as the root mean square error of prediction