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https://issues.apache.org/jira/browse/SPARK-14900?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15270403#comment-15270403
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Nick Pentreath commented on SPARK-14900:
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It's ok to put this in MultiClassMetrics, but isn't it a little confusing that
it would not be in BinaryClassificationMetrics? Typically a user may want to
compute accuracy, and their instinct would be to use
BinaryClassificationMetrics. Perhaps we could put it in both?
> 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
> Priority: Minor
>
> 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.
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