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  1. Hivemall
  2. HIVEMALL-178

NaN/missing value/null values handling in RandomForest

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    Details

    • Type: Improvement
    • Status: Closed
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 0.6.0
    • Labels:
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      Description

      Missing value handling in RandomForest is missing in the current implementation. 

      So, missing value (null/NaN) should be handled efficiently in RandomForest.

      http://oro.open.ac.uk/22531/1/decision_trees.pdf
      https://www.slideshare.net/kato_kohaku/imputation-of-missing-values-using-random-forest

       

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              • Assignee:
                myui Makoto Yui
                Reporter:
                myui Makoto Yui
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                  Updated:
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