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Posted to issues@spark.apache.org by "Alexander Ulanov (JIRA)" <ji...@apache.org> on 2014/06/20 15:53:24 UTC

[jira] [Created] (SPARK-2222) Add multiclass evaluation metrics

Alexander Ulanov created SPARK-2222:
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             Summary: 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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