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Impute Missing Value operator - Performance
Contributor I
Hello there,
I replaced some missing values with the operator "Impute Missing Values" using the KNN scheme. I also normalized it and wanted to check the performance and connect the "Performance" operator inside the "Impute Missing Value" operator but the connection doesn't work.
Can't I use performance with the "Impute Missing Value" operator?
Thanks in advance!
I replaced some missing values with the operator "Impute Missing Values" using the KNN scheme. I also normalized it and wanted to check the performance and connect the "Performance" operator inside the "Impute Missing Value" operator but the connection doesn't work.
Can't I use performance with the "Impute Missing Value" operator?
Thanks in advance!
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Best Answer
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BalazsBarany
Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 955 
Unicorn
Hi!
You should be able to use any process inside Impute Missing Values that returns a model on the model output.
If you're interested in the performance, you could connect the ave output of the cross validation to a Remember operator, set the io object type to PerformanceVector and then either put a breakpoint on the validation or use Recall later to retrieve the remembered performance value.
Regards,
Balázs1
