"Normalized Absolute Error"

islem_h
islem_h New Altair Community Member
edited November 2024 in Community Q&A
Hi everyone :)

I applied different models (Random Forest, SVR, GLM...) to make predictions of a numerical target variable. In order to assess their performances, I chose RMSE and NAE (Normalized Absolute Error) from the options suggested by RapidMiner's operator "Performance".

I got (slightly) different rankings using the 2 metrics. What could be a reason for that?
It would be very helpful if anyone could provide me with a reference (documentation) about the Normalized Absolute Error (NAE). I couldn't interpret the results (1,3 and 0,62 and 0,59) based only on Rapidminer's definition of NAE.

Thank you a lot in advance!
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