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https://issues.apache.org/jira/browse/SAMOA-52?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15196856#comment-15196856
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ASF GitHub Bot commented on SAMOA-52:
-------------------------------------
Github user gdfm commented on the pull request:
https://github.com/apache/incubator-samoa/pull/42#issuecomment-197170712
Re-merged this one on top of the recovered master.
> VHT performance problem with nominal attributes
> -----------------------------------------------
>
> Key: SAMOA-52
> URL: https://issues.apache.org/jira/browse/SAMOA-52
> Project: SAMOA
> Issue Type: Bug
> Components: SAMOA-API
> Reporter: Albert Bifet
> Assignee: Albert Bifet
>
> When running artificial experiments using only nominal attributes with
> {code}
> generators.RandomTreeGenerator -c 2 -o 50 -u 0
> {code}
> 2 classes, 50 nominal attributes, 0 numerical attributes, accuracy goes down
> to 53%. However, in the case
> {code}
> generators.RandomTreeGenerator -c 2 -o 50 -u 0
> {code}
> with 50 numerical attributes, 0 nominal attributes, VHT is performing well
> with 95.42% of accuracy.
> To reproduce:
> {code}
> bin/samoa local target/SAMOA-Local-0.4.0-incubating-SNAPSHOT.jar
> "PrequentialEvaluation -d /tmp/dump.csv -i 1000000 -f 100000 -l
> (classifiers.trees.VerticalHoeffdingTree -p 4) -s
> (generators.RandomTreeGenerator -c 2 -o 50 -u 0)"
> {code}
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