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Multipe Imputation for Missing Values

Missing values Multiple Imputation
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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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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.1

    knime
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    KNIME Data Generation Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

    knime
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    KNIME Interactive R Statistics Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

    knime
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

    knime
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