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Posted to dev@lucene.apache.org by "ASF subversion and git services (JIRA)" <ji...@apache.org> on 2016/05/26 14:15:13 UTC
[jira] [Commented] (LUCENE-7305) Use macro average in confusion
matrix metrics to normalize imbalanced classes
[ https://issues.apache.org/jira/browse/LUCENE-7305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15302126#comment-15302126 ]
ASF subversion and git services commented on LUCENE-7305:
---------------------------------------------------------
Commit dc50b79a146d95b8dd6d68523adfcedb2440a0e2 in lucene-solr's branch refs/heads/master from [~teofili]
[ https://git-wip-us.apache.org/repos/asf?p=lucene-solr.git;h=dc50b79 ]
LUCENE-7305 - use macro average in confusion matrix metrics, removed unused import in datasplitter
> Use macro average in confusion matrix metrics to normalize imbalanced classes
> -----------------------------------------------------------------------------
>
> Key: LUCENE-7305
> URL: https://issues.apache.org/jira/browse/LUCENE-7305
> Project: Lucene - Core
> Issue Type: Improvement
> Components: modules/classification
> Reporter: Tommaso Teofili
> Assignee: Tommaso Teofili
> Fix For: 6.1
>
>
> {{ConfusionMatrix}} multi class measures should be based on macro average to avoid bias (for the good or the bad) from imbalanced classes.
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