Ansgar Schulze created SPARK-20228:
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Summary: Random Forest instable results depending on
spark.executor.memory
Key: SPARK-20228
URL: https://issues.apache.org/jira/browse/SPARK-20228
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.1.0
Reporter: Ansgar Schulze
If I deploy a random forrest modeling with example
spark.executor.memory 20480M
I got another result as if i depoy the modeling with
spark.executor.memory 6000M
I excpected the same results but different runtimes.
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