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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/06/14 08:24:00 UTC

[jira] [Resolved] (SPARK-15936) CLONE - Add class weights to Random Forest

     [ https://issues.apache.org/jira/browse/SPARK-15936?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-15936.
-------------------------------
    Resolution: Duplicate

> CLONE - Add class weights to Random Forest
> ------------------------------------------
>
>                 Key: SPARK-15936
>                 URL: https://issues.apache.org/jira/browse/SPARK-15936
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib
>    Affects Versions: 1.4.1
>            Reporter: Yuewei Na
>
> Currently, this implementation of random forest does not support class weights. Class weights are important when there is imbalanced training data or the evaluation metric of a classifier is imbalanced (e.g. true positive rate at some false positive threshold). 



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