Fill in Missing Values by average of whole row
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Hi @msacs09
You can do it with the Generate Aggregation operator and a Loop. Something like this:
It is a bit clumsy, but I didn't find an easier way.
Regards,
Sebastian
@SGolbert Thank you. If I may ask, how do i replace the average here with a regression model such as KNN or some other learner, so that we impute with a regression value as opposed to average, such that we do not repeat the SAME value for every missing row for that ID?
Thank you for your valuable time.
Thank you for your valuable time.
It appears that the imputation operator has a bug. It complains about missing exampleset as reported here. So I was curious if your approach would resolve that issue.
https://community.rapidminer.com/discussion/54470/imputing-challenge-with-a-best-possible-ensemble#latest
https://community.rapidminer.com/discussion/54470/imputing-challenge-with-a-best-possible-ensemble#latest