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How to find the Relative Root Mean Square Error for the given data?

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Sadiq Akbar
Sadiq Akbar le 6 Mar 2024
Commenté : Sadiq Akbar le 8 Mar 2024
I have some data as given below:
u=[-30 30 -50 50];% desired vector
low = [-90 -90 -90 -90];
up = [90 90 90 90];
b = low + (up - low) .* randn(1,4);% Estimated vetors
How will we find the Relative Root Mean Sqaure Error (RRMSE) for this? Further, what does the RRMSE show?
  6 commentaires
Dyuman Joshi
Dyuman Joshi le 7 Mar 2024
Modifié(e) : Dyuman Joshi le 7 Mar 2024
@Sadiq Akbar, you should read the comments included in the code above.
Sadiq Akbar
Sadiq Akbar le 8 Mar 2024
Yes, I read and made the dimension of both equal and it worked. But If we want to determine the RMSE and the RRMSE for the above data when u=[-30 30]; Then what is the diffeence between them. Further and most important if we want to draw a plot for both the metrics i.e., RMSE and RRMSE for the above data, then how will be that and what is the difference between both? I mean what extra information is given by RRMSE than RMSE?

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