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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2016/01/26 21:48:40 UTC

[jira] [Updated] (SPARK-9478) Add class weights to Random Forest

     [ https://issues.apache.org/jira/browse/SPARK-9478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-9478:
---------------------------------
    Target Version/s: 2.0.0

> Add class weights to Random Forest
> ----------------------------------
>
>                 Key: SPARK-9478
>                 URL: https://issues.apache.org/jira/browse/SPARK-9478
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib
>    Affects Versions: 1.4.1
>            Reporter: Patrick Crenshaw
>
> 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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