[
https://issues.apache.org/jira/browse/SPARK-4460?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joseph K. Bradley closed SPARK-4460.
------------------------------------
Resolution: Invalid
Realized this was invalid. Current implementation is fine, except for corner
case at 0.5
> RandomForest classification uses wrong threshold
> ------------------------------------------------
>
> Key: SPARK-4460
> URL: https://issues.apache.org/jira/browse/SPARK-4460
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.2.0
> Reporter: Joseph K. Bradley
>
> RandomForest was modified to use WeightedEnsembleModel, but it needs to use a
> different threshold for prediction than GradientBoosting does.
> Fix: WeightedEnsembleModel.scala:70 should use threshold 0.0 for boosting and
> 0.5 for forests.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
