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https://issues.apache.org/jira/browse/SPARK-2222?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14040175#comment-14040175
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Jun Xie commented on SPARK-2222:
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It makes sense. You are right. sum(fni)=sum(fpi). The recall and precision are
the same. Thanks very much.
> Add multiclass evaluation metrics
> ---------------------------------
>
> Key: SPARK-2222
> URL: https://issues.apache.org/jira/browse/SPARK-2222
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Affects Versions: 1.0.0
> Reporter: Alexander Ulanov
>
> There is no class in Spark MLlib for measuring the performance of multiclass
> classifiers. This task involves adding such class and unit tests. The
> following measures are to be implemented: per class, micro averaged and
> weighted averaged Precision, Recall and F1-Measure.
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