[jira] [Assigned] (SPARK-32428) [EXAMPLES] Make BinaryClassificationMetricsExample consistently print the metrics on driver's stdout

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

     [ https://issues.apache.org/jira/browse/SPARK-32428?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-32428:
------------------------------------

    Assignee:     (was: Apache Spark)

> [EXAMPLES] Make BinaryClassificationMetricsExample consistently print the metrics on driver's stdout
> ----------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-32428
>                 URL: https://issues.apache.org/jira/browse/SPARK-32428
>             Project: Spark
>          Issue Type: Improvement
>          Components: Examples
>    Affects Versions: 2.4.6, 3.0.0
>            Reporter: Itsuki Toyota
>            Priority: Trivial
>
> Some RDDs in this example (e.g., precision, recall) call println without calling collect.
> If the job is under local mode, it sends the data to the driver node and prints the metrics on the driver's stdout.
> However if the job is under cluster mode, the job prints the metrics on the executor's stdout.
> It seems inconsistent compared to the other metrics nothing to do with RDD (e.g., auPRC, auROC) since these metrics always output the result on the driver's stdout.
> All of the metrics should output its result on the driver's stdout.



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