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 https://kni.me/w/FMVnse1-jvF_jZRw