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Posted to dev@lucene.apache.org by "Tommaso Teofili (JIRA)" <ji...@apache.org> on 2016/05/26 14:39:12 UTC
[jira] [Resolved] (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:all-tabpanel ]
Tommaso Teofili resolved LUCENE-7305.
-------------------------------------
Resolution: Fixed
> 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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