[jira] [Commented] (SPARK-14900) spark.ml classification metrics should include accuracy

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-14900?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15315706#comment-15315706 ] 

Apache Spark commented on SPARK-14900:
--------------------------------------

User 'zhengruifeng' has created a pull request for this issue:
https://github.com/apache/spark/pull/13511

> spark.ml classification metrics should include accuracy
> -------------------------------------------------------
>
>                 Key: SPARK-14900
>                 URL: https://issues.apache.org/jira/browse/SPARK-14900
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>            Reporter: Joseph K. Bradley
>            Assignee: Miao Wang
>            Priority: Minor
>             Fix For: 2.0.0
>
>
> To compute "accuracy" (0/1 classification accuracy), users can use {{precision}} in MulticlassMetrics and MulticlassClassificationEvaluator.metricName.  We should also support "accuracy" directly as an alias to help users familiar with that name.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org