Github user srowen commented on the issue:
https://github.com/apache/spark/pull/16129
@felixcheung maybe you can advise me on this. I think this is a correct
fix, but ends up changing the results of decision forests a little bit. The
SparkR test you wrote fails:
```
Failed
-------------------------------------------------------------------------
1. Failure: spark.randomForest (@test_mllib.R#937)
-----------------------------
predictions$prediction not equal to c(...).
16/16 mismatches (average diff: 0.108)
[1] 60.3 - 60.4 == -0.0508
[2] 61.2 - 61.1 == 0.1272
[3] 60.7 - 60.6 == 0.0543
[4] 62.1 - 62.3 == -0.1473
[5] 63.5 - 63.7 == -0.2044
[6] 64.1 - 64.3 == -0.2413
[7] 65.1 - 64.9 == 0.2591
[8] 64.3 - 64.3 == 0.0045
[9] 66.7 - 66.7 == 0.0001
...
```
Of course I can just paste in the new values, as I expect a small change in
the result, but wanted to sense-check it. The new answers are closer to the
answers in the nearly-identical case above with 1 tree, which seems a little
positive.
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