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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2018/07/04 18:43:00 UTC
[jira] [Updated] (SPARK-24710) Information Gain Ratio for decision
trees
[ https://issues.apache.org/jira/browse/SPARK-24710?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-24710:
------------------------------
Target Version/s: (was: 2.3.1)
Fix Version/s: (was: 2.3.1)
> Information Gain Ratio for decision trees
> -----------------------------------------
>
> Key: SPARK-24710
> URL: https://issues.apache.org/jira/browse/SPARK-24710
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Affects Versions: 2.3.1
> Reporter: Pablo J. Villacorta
> Priority: Minor
> Labels: features
>
> Spark currently uses Information Gain (IG) to decide the next feature to branch on when building a decision tree. In case of categorical features, IG is known to be biased towards features with a large number of categories. [Information Gain Ratio|https://en.wikipedia.org/wiki/Information_gain_ratio] solves this problem by dividing the IG by a number that characterizes the intrinsic information of a feature.
> As far as I know, Spark has IG but not IGR. It would be nice to have the possibility to choose IGR instead of IG.
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