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root mean square error equal to vs root mean square error of

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

Last updated: March 17, 2024 • 607 views

root mean square error equal to

This phrase is correct when stating a specific value of RMSE.

This phrase is used when providing a specific numerical value for the root mean square error in a sentence.

Examples:

  • The root mean square error equal to 5 indicates a good fit of the model.
  • the variation in directly measured needle areas, with root mean square error equal to 2% of the mean measured areas. Results were similar for the validation  ...
  • Sep 29, 2011 ... ... of the variation in diameter at breast height across the six species with a root mean square error equal to 2.8 cm (17.9% of mean diameter).
  • (corresponding to 2%) and a root-mean-square error equal to 0.09mw.e. (17%). According to our model, the ablation areas of all the glaciers in the CKNP ...
  • root mean square error (equal to w_eRMS). SASW. Spectral Analysis of Surface Waves. S(vs) cost function used in maximum likelihood method. U matrix whose ...

root mean square error of

This phrase is correct when referring to the concept of RMSE.

This phrase is used when discussing the root mean square error as a statistical measure of the difference between values predicted by a model or an estimator and the values observed.

Examples:

  • The root mean square error of the model is a crucial metric for evaluating its performance.
  • The Root Mean Square Error of Approximation (RMSEA). as a supplementary statistic to determine fit to the Rasch model with large sample sizes ...
  • Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model. Amin Zollanvari,, , Author Vitae,; Edward R.
  • Abstract. The fit index root mean square error of approximation (RMSEA) is extremely popular in structural equation modeling. However, its behavior under ...
  • The root mean square error of approximation (RMSEA) is one of the most widely reported measures of misfit/fit in applications of structural equation modeling.

Related Comparisons

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