[ https://issues.apache.org/jira/browse/SPARK-2222?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-2222: --------------------------------- Assignee: Alexander Ulanov > 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 > Assignee: Alexander Ulanov > Fix For: 1.1.0 > > > 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. -- This message was sent by Atlassian JIRA (v6.2#6252)