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From "Theodore Vasiloudis (JIRA)" <j...@apache.org>
Subject [jira] [Created] (FLINK-2267) Support multi-class scoring for binary classification scores
Date Wed, 24 Jun 2015 09:43:04 GMT
Theodore Vasiloudis created FLINK-2267:
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             Summary: 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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