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getting very high MSE and an R almost equal to 1!!

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I am trying to model PV output power based on 6 parameters (components of solar irradiance, ambient temperature, wind speed, wind direction, timestamp). I have used the nftool but I have noticed that the values of MSE for training, validation and testing are very high, while R are always almost equal to one , as shown in the picture attached. Do you think I should change MSE parameters to normalized percent ? or something else to get better performance with accurate results..


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Accepted Answer

Greg Heath
Greg Heath on 7 Mar 2017
Your R looks pretty good. Therefore your MSE is relatively low compared to the average target variance because
R = sqrt( 1 - MSE/mean(var(t',1)) )
Thank you for accepting my answer


Med Aymane Ahajjam
Med Aymane Ahajjam on 7 Mar 2017
Thank you Greg for your answer.. I was wondering if I should compute another performance parameter more relative to this problem? any suggestions?
Greg Heath
Greg Heath on 21 Oct 2018
Define a performance parameter that is more relative to the problem.
Then calculate it and post it.

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