Azzera filtri
Azzera filtri

RMSE between original and predicted values.

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If I have thousand samples of my signal in a vector form like 1*1000, and I will predict my signal at each iteration that results into 1*1000 also. Then In this case, how will I find the RMSE of my model?
Many Thanks

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Star Strider
Star Strider il 18 Gen 2020
Please see my Comment replying to your Comment.
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Star Strider
Star Strider il 20 Gen 2020
As always, my pleasure!

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Image Analyst
Image Analyst il 18 Gen 2020
Without any other information, the maximum likelihood prediction for every element would be the mean of the entire signal. But it seems you'd rather have the rms, so you'd have
RMSE = rms(yourVector)
predictionVector = RMSE * ones(length(yourVector));


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