[jira] [Commented] (FLINK-2267) Support multi-class scoring for binary classification scores

["Mikhail Lipkovich (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-2267?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16148763#comment-16148763 ] 

Mikhail Lipkovich commented on FLINK-2267:
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Hi All,
[~rohits134] are you still working on it? 
If you are not and this issue is still relevant can I assign it to me? This is also going to be my first issue

> Support multi-class scoring for binary classification scores
> ------------------------------------------------------------
>
>                 Key: FLINK-2267
>                 URL: https://issues.apache.org/jira/browse/FLINK-2267
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Theodore Vasiloudis
>            Priority: Minor
>
> Some scores like accuracy, recall and F-score are designed for binary classification.
> They can be used to evaluate multi-class problems as well by using micro or macro averaging techniques.
> This ticket is about creating such an option,  allowing our binary classification metrics to be used in multi-class problems.
> You can check out [sklearn's user guide|http://scikit-learn.org/stable/modules/model_evaluation.html#multiclass-and-multilabel-classification] for more info.



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