[ https://issues.apache.org/jira/browse/SPARK-9478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-9478: --------------------------------- Target Version/s: 2.1.0 (was: ) > Add class weights to Random Forest > ---------------------------------- > > Key: SPARK-9478 > URL: https://issues.apache.org/jira/browse/SPARK-9478 > Project: Spark > Issue Type: Improvement > Components: ML, MLlib > Affects Versions: 1.4.1 > Reporter: Patrick Crenshaw > > Currently, this implementation of random forest does not support class > weights. Class weights are important when there is imbalanced training data > or the evaluation metric of a classifier is imbalanced (e.g. true positive > rate at some false positive threshold). -- 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