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https://issues.apache.org/jira/browse/SPARK-4460?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley closed SPARK-4460.
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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.
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