You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "xujiajin (Jira)" <ji...@apache.org> on 2020/05/24 15:01:00 UTC
[jira] [Updated] (SPARK-3159) Check for reducible DecisionTree
[ https://issues.apache.org/jira/browse/SPARK-3159?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
xujiajin updated SPARK-3159:
----------------------------
Attachment: image-2020-05-24-23-00-38-419.png
> Check for reducible DecisionTree
> --------------------------------
>
> Key: SPARK-3159
> URL: https://issues.apache.org/jira/browse/SPARK-3159
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Joseph K. Bradley
> Assignee: Alessandro Solimando
> Priority: Minor
> Fix For: 2.4.0
>
> Attachments: image-2020-05-24-23-00-38-419.png
>
>
> Improvement: test-time computation
> Currently, pairs of leaf nodes with the same parent can both output the same prediction. This happens since the splitting criterion (e.g., Gini) is not the same as prediction accuracy/MSE; the splitting criterion can sometimes be improved even when both children would still output the same prediction (e.g., based on the majority label for classification).
> We could check the tree and reduce it if possible after training.
> Note: This happens with scikit-learn as well.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org