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.
Used extensions & nodes
Created with KNIME Analytics Platform version 4.2.1
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