You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Aleksey Zinoviev (JIRA)" <ji...@apache.org> on 2018/08/13 10:04:00 UTC
[jira] [Commented] (SPARK-24710) Information Gain Ratio for
decision trees
[ https://issues.apache.org/jira/browse/SPARK-24710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16578045#comment-16578045 ]
Aleksey Zinoviev commented on SPARK-24710:
------------------------------------------
Could I take this ticket?
> 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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org