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