Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2435#issuecomment-55971575
@jkbradley I don't quite get what different columns in result numbers mean.
Do you mean that you are still training exactly the same single tree (to
depth 6) on different number of rows/features but with added features?
Are you still sampling 100% of features per node even with feature subsets
in these tests?
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