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Table 4 PFC scores for the categorical features in the training set. The best performances are highlighted in bold

From: Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach

Features Imputation methods
  Amelia II MICE missForest k-RN wk-NN k-RN wk-NN MI
     k=10 k=10 k=20 k=20
sex 0.4859 0.4416 0.4463 0.5160 0.3974 0.4831 0.3823
familiality 0.1646 0.1268 0.1372 0.0842 0.0823 0.0842 0.0738
genetics 0.3310 0.1781 0.1751 0.0956 0.0895 0.0956 0.0815
FTD 0.3295 0.2642 0.3565 0.2060 0.2003 0.1960 0.1903
onset site 0.2957 0.1516 0.1403 0.3672 0.1017 0.3484 0.0800
NIV 0.1111 0.0556 0.0537 0.0518 0.0480 0.0518 0.0235
PEG 0.0948 0.0150 0.0208 0.0069 0.0069 0.0069 0.0069
Average 0.2589 0.1761 0.1900 0.1897 0.1323 0.1809 0.1198