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"Bagging regression trees: Bagging and W-M5P"
nicugeorgian
Member Posts: 31 Maven
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,
Any ideas?
Thanks,
Geo
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,
then the process complains, saying that Bagging is not able to support numerical labels
<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>
Any ideas?
Thanks,
Geo
Tagged:
0
Answers
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