[jira] [Commented] (SAMOA-52) VHT performance problem with nominal attributes

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SAMOA-52?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15195751#comment-15195751 ] 

ASF GitHub Bot commented on SAMOA-52:
-------------------------------------

Github user abifet closed the pull request at:

    https://github.com/apache/incubator-samoa/pull/42


> 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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