Joseph K. Bradley created SPARK-4460:
----------------------------------------
Summary: 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
