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https://issues.apache.org/jira/browse/SPARK-8468?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14593438#comment-14593438
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Apache Spark commented on SPARK-8468:
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User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/6905
> Cross-validation with RegressionEvaluator prefers higher RMSE
> -------------------------------------------------------------
>
> Key: SPARK-8468
> URL: https://issues.apache.org/jira/browse/SPARK-8468
> Project: Spark
> Issue Type: Bug
> Components: ML
> Affects Versions: 1.4.0
> Reporter: Chelsea Zhang
>
> Please correct me if I'm wrong, but RegressionEvaluator seems to implement
> the evaluate() method backwards. The interface expects higher return values
> from evaluate() to indicate better models. RegressionEvaluator returns RMSE
> by default - a value we should try to minimize.
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