Multipe Imputation for Missing Values

This workflow shows an example for multiple imputation using the R “mice” package to create 5 complete datasets. The analysis - in this case training a classification problem - is then run for each complete dataset. In the last step the results are pooled using a majority voting.

This is a companion discussion topic for the original entry at