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Posted to issues@spark.apache.org by "Nguyen Nhanduc (Jira)" <ji...@apache.org> on 2020/03/17 01:26:00 UTC
[jira] [Updated] (SPARK-31169) Random Forest in SparkML 2.3.3 vs
2.4.x
[ https://issues.apache.org/jira/browse/SPARK-31169?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Nguyen Nhanduc updated SPARK-31169:
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Attachment: spark233.jpg
spark240.jpg
spark244.jpg
> 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.
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