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https://issues.apache.org/jira/browse/SPARK-10524?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-10524:
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Assignee: Liang-Chi Hsieh
> Decision tree binary classification with ordered categorical features:
> incorrect centroid
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-10524
> URL: https://issues.apache.org/jira/browse/SPARK-10524
> Project: Spark
> Issue Type: Bug
> Components: ML, MLlib
> Affects Versions: 1.5.0
> Reporter: Joseph K. Bradley
> Assignee: Liang-Chi Hsieh
>
> In DecisionTree and RandomForest binary classification with ordered
> categorical features, we order categories' bins based on the hard prediction,
> but we should use the soft prediction.
> Here are the 2 places in mllib and ml:
> *
> [https://github.com/apache/spark/blob/45de518742446ddfbd4816c9d0f8501139f9bc2d/mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala#L887]
> *
> [https://github.com/apache/spark/blob/45de518742446ddfbd4816c9d0f8501139f9bc2d/mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala#L779]
> The PR which fixes this should include a unit test which isolates this issue,
> ideally by directly calling binsToBestSplit.
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