mean absolute error vs mean absolute error of the prediction model

Both phrases are correct, but they are used in different contexts. 'Mean absolute error' is a common term in statistics and machine learning to measure the average magnitude of errors in a set of predictions. On the other hand, 'mean absolute error of the prediction model' specifies that the error is related to a specific model. The choice between the two depends on the level of detail and specificity needed in the context.

Last updated: March 17, 2024 • 653 views

mean absolute error

This phrase is correct and commonly used in statistics and machine learning.

It refers to the average magnitude of errors in a set of predictions.

Show examples from the web [+]

In statistics, the mean absolute error (MAE) is a quantity used to measure how close forecasts or predictions are to the eventual outcomes. The mean absolute ...
See also[edit]. Least absolute deviations · Mean absolute error · Mean percentage error · Symmetric mean absolute percentage error ...
Mean absolute error (MAE). The MAE measures the average magnitude of the errors in a set of forecasts, without considering their direction. It measures ...
Dec 13, 2012 ... Forecast Accuracy: Mean Absolute Error (MAE). Ed Dansereau. Subscribe SubscribedUnsubscribe 505505. Loading... Loading... Working.

mean absolute error of the prediction model

This phrase is correct and provides more specific information by referring to the error of a particular prediction model.

It specifies the average magnitude of errors in the predictions made by a particular model.

Show examples from the web [+]

mean absolute error of the prediction model varies from 0.4 to 1.8 inches in length and 0.3 to 0.8 inch in width at the defect cross-sectional size at the midpoint ...
Oct 12, 2012 ... where MAEPi MAE P i is the mean absolute error of the prediction model Pi P i and. View the MathML source. MAE ¯ P 0 is the mean value of a ...

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

mean absolute error vs mean absolute error of the prediction model