What is the equivalent to missForest missing value imputation in rapidminer?

norita

I would like to obtain missing value imputation.

In the missForest package in R I could implement the missing values and check the error imputate values (out of bag) as normalized mean square error (NRMSE)  and proportion of falsely classified (PFC).

Thereby for example a NRMS of 0.13 and PFC of 0.15 mean that the
the continuous values were imputed with an error of 13% and the categorical of 15%.

Do I have this possibility in RapidMiner too?

ceaperez

Hi @TakePartOfLife, 

Have you tried the Impute Missing Values Operator?

Best