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"Bagging regression trees: Bagging and W-M5P"

nicugeorgiannicugeorgian Member Posts: 31  Guru
edited May 23 in Help
Hello,

How can I apply bagging to the M5P algorithm, i.e., how can I use the operators Bagging and W-M5P together?

I use W-M5P to predict, by means of a regression tree, a numerical label based on polynomial and numerical attributes.

If I use W-M5P as an inner operator of the Bagging operator,

<operator name="Bagging" class="Bagging" expanded="yes">
        <operator name="W-M5P" class="W-M5P">
                <parameter key="M" value="10.0"/>
                <parameter key="N" value="true"/>
                <parameter key="R" value="true"/>
        </operator>
</operator>
then the process complains, saying that Bagging is not able to support numerical labels  :(

Any ideas?

Thanks,
Geo
Tagged:

Answers

  • IngoRMIngoRM Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,661  RM Founder
    Hi Geo,

    the reason why this does not work is quite simple: in the current version, bagging does not support numerical labels (regression problems) but classification tasks only. I have just changed that and numerical labels are now also supported by bagging. You can access this imrpoved version via CVS (described here: http://rapid-i.com/content/view/25/48/ ). Users of the RapidMiner Enterprise Edition will get this improvement with the next automatic update. And of course this change will also be part of the next release.

    Cheers,
    Ingo
    RapidMiner Wisdom 2020
    February 11th and 12th 2020 in Boston, MA, USA

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