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

noritanorita Member Posts: 29 Contributor I
edited April 2021 in Help
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?


Sign In or Register to comment.