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

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.

Show examples from the web [+]

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.

Show examples from the web [+]

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.

What Our Customers Are Saying

Our customers love us! We have an average rating of 4.79 stars based on 283,125 votes.
Also check out our 2,100+ reviews on TrustPilot (4.9).

"Thank you!"
Sachi Nakama July 2024
"I have literally been through chat, PI, claude, bard and bing and I got conflicting answers! Thank you! Human intelligence reigns!"
Retha July 2024
"Faster than AI"
CYNTHIA December 2023
"This was very helpful and I personally think this site is the best."
Kaden October 2023
"It was extremely thorough and very helpful!"
imperialelisa October 2023
"7 years without any disappointment. Always 100% satisfied. You guys are the best in the world at what you do. Thank you so much :)"
Zubair Alam October 2023
"In a world of text messages and online communication, this is great to have as a live tool. Thank you."
Selena October 2023
"Without textranch I would be stuck!"
宏祐 October 2023
"Accuracy and fast response. Personal comments from editor. Thank you."
Clh September 2023
"I wasn't aware of this service, it's fascinating and more reliable than standard IA tools available on the internet"
Arturo September 2023
"The fact that you can get reliable fast feedback on your texts."
Vinicius Antonio August 2023
"you guys are better than grammarly i'm being honest here"
ordinary July 2023
"OMG! This is really good than any other text correction tools I've used so far. Highly recommend this."
Vehan July 2023
"Very fast and accurate. thank you."
mojtaba July 2023
"I love this app because it's help to writing skills all of students ♥️"
Tarisini July 2023
"This was exactly the mistake I was looking for, the wording dind´t sound right at first. Better than grammarly!"
Ente July 2023
"The immediate help that I received was reassuring and very satisfactory. Thanks."
priiiyanshuu July 2023
"this helps A LOT for my studies."
kathnunez02 June 2023
"Woow!! I would never have expected such precision! Thank you soooo much!!"
Berta June 2023
"Real Time Editor and not AI. Many Thanks."
Priya June 2023
"The very first thing excites me about Textranch is how much your editors care."
sepideh June 2023
"The fact that texts are checked by human editors rather than by AI, etc. I appreciate this!"
Анна June 2023
"Feel welcome, immediate response, high quality feedback"
martin.roy June 2023
"This is the best app that I have ever seen"
Burulai May 2023

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