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https://issues.apache.org/jira/browse/MAHOUT-145?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12739910#action_12739910
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Deneche A. Hakim commented on MAHOUT-145:
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bq. What really bugs me is that it is worse with few maps. Am I interpreting
this correctly when I say that splitting the data in half and building
independent forests increases OOB errors by a factor of 1000? How could that
possibly be?
Only one possible explanation: a BUG. I already have an idea where I can find
it...
> PartialData mapreduce Random Forests
> ------------------------------------
>
> Key: MAHOUT-145
> URL: https://issues.apache.org/jira/browse/MAHOUT-145
> Project: Mahout
> Issue Type: New Feature
> Components: Classification
> Reporter: Deneche A. Hakim
> Priority: Minor
> Attachments: partial_August_2.patch
>
>
> This implementation is based on a suggestion by Ted:
> "modify the original algorithm to build multiple trees for different portions
> of the data. That loses some of the solidity of the original method, but
> could actually do better if the splits exposed non-stationary behavior."
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