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https://issues.apache.org/jira/browse/MAHOUT-245?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Deneche A. Hakim updated MAHOUT-245:
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Status: Patch Available (was: Open)
> Better handling of Categorical attributes when building Decision Forests
> ------------------------------------------------------------------------
>
> Key: MAHOUT-245
> URL: https://issues.apache.org/jira/browse/MAHOUT-245
> Project: Mahout
> Issue Type: Improvement
> Components: Classification
> Affects Versions: 0.3
> Reporter: Deneche A. Hakim
> Assignee: Deneche A. Hakim
> Fix For: 0.3
>
> Attachments: mahout-245.patch
>
>
> When building a decision tree, at each node a random subset from all
> variables (attributes) is considered for the node split.
> If a Categorical variable has been selected, the data available at the node
> is split such that each child node has the same value for the selected
> variable. In all sub-nodes the selected variable should not be selected
> again, but the current implementation does not account for that. The
> resulting tree may contain redundant nodes that does not impair its
> classification performance but are nonetheless unnecessary.
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