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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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Nguyen Nhanduc updated SPARK-31169:
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Description:
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.
was:
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.
> 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
> Attachments: spark233.jpg, spark240.jpg, spark244.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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