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as the root mean square error obtained vs coefficient of determination of prediction

These two phrases are not directly comparable as they refer to different concepts in statistics. The first phrase 'as the root mean square error obtained' is correct when discussing the accuracy of a model, while the second phrase 'coefficient of determination of prediction' is also correct when referring to the goodness of fit of a regression model.

Last updated: March 17, 2024

as the root mean square error obtained

This phrase is correct and commonly used in statistics to describe the accuracy of a model.

This phrase is used to indicate the root mean square error (RMSE) value that has been calculated or obtained in the context of evaluating the performance of a model or prediction.
  • It is observed that the Hata model for urban area do not correctly predict the path loss as the root mean square error obtained was outside the range accepted for ...

coefficient of determination of prediction

This phrase is correct and commonly used in statistics to refer to the coefficient of determination (R-squared) that assesses the goodness of fit of a regression model.

This phrase is used to describe the R-squared value obtained from a regression analysis, indicating how well the model fits the observed data.
  • ... the multiple coefficient of determination, which we call coefficient of determination of prediction. It is denoted and is defined, for new observations, as follows:.
  • and the coefficient of determination of prediction. (R2 Pred), are given in Table 2. Low errors in the calibration and prediction and high R2 values (close.
  • ... validation (RMSEVE) and prediction, coefficient of determination of prediction ( RP2), root mean square error of prediction (RMSEP), bias corrected RMSEP, ...
  • Aug 14, 2015 ... and the coefficient of determination of prediction. (R2 Pred), are given in Table 2. Low errors in the calibration and prediction and high R2 ...

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