Github user manishamde commented on the pull request:
https://github.com/apache/spark/pull/8246#issuecomment-139331864
@NathanHowell @jkbradley We should consider making bins per feature and
sample sizes configurable to avoid the side-effects mentioned above.
Did the brushfire implementation also have similar number of splits and
tree depth? Also, could you describe the training data a little more -- number
of samples, number of categorical/continuous features, etc.
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