[jira] [Resolved] (SPARK-15617) Clarify that fMeasure in MulticlassMetrics and MulticlassClassificationEvaluator is "micro" f1_score

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-15617?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-15617.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 13390
[https://github.com/apache/spark/pull/13390]

> Clarify that fMeasure in MulticlassMetrics and MulticlassClassificationEvaluator is "micro" f1_score
> ----------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-15617
>                 URL: https://issues.apache.org/jira/browse/SPARK-15617
>             Project: Spark
>          Issue Type: Documentation
>          Components: Documentation, ML, MLlib
>            Reporter: Joseph K. Bradley
>            Priority: Minor
>             Fix For: 2.0.0
>
>
> See description in sklearn docs: [http://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html]
> I believe we are calculating the "micro" average for {{val fMeasure: Double}}.  We should clarify this in the docs.
> I'm not sure if "micro" is a common term, so we should check other libraries too.



--
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