Comparison of five iterative imputation methods for multivariate classification

► The performance of five imputation methods is compared on synthetic and real data sets with elements missing completely at random. ► Correlation of imputation accuracy and classification accuracy is revealed. ► Relation between covariance changes and classification error changes affected by imputation is investigated.