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https://issues.apache.org/jira/browse/SPARK-31169?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-31169.
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Resolution: Invalid
Let's ask questions into mailing list before filing it as an issue.
> Random Forest in SparkML 2.3.3 vs 2.4.x
> ---------------------------------------
>
> Key: SPARK-31169
> URL: https://issues.apache.org/jira/browse/SPARK-31169
> Project: Spark
> Issue Type: Question
> Components: ML
> Affects Versions: 2.3.3, 2.4.0, 2.4.3
> Reporter: Nguyen Nhanduc
> Priority: Major
> Labels: MLLib,, RandomForest, SparkML
> Attachments: spark233.jpg, spark240.jpg, spark243.jpg
>
>
> Hi all,
> When I trained the model with the Random Forest algorithm, I got different
> results in different versions of spark, the same input, label ratio,
> hyperparameter for all training. Detailed training results in the attached
> file. Model training results with spark 2.3.3 are much better, so I want to
> ask if there have been any changes to the random forest (or other algorithms)
> in mllib?
> Many thanks.
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