Regression Tree in RapidMiner

arhong
New Altair Community Member
I just start to use RapidMiner Studio. The version I downloaded is the Trial version 6.4.
The task I have is to use a regression tree to predict a continuous variable. Is there a model operator in RapidMiner that can run such a regression tree?
I tried Decision Tree, CHAID and Random Forest operators. However, all of them gave the same error message: 'CHAID cannot handle numeric label".
Is this just a limitation to Trial version?
Thanks
The task I have is to use a regression tree to predict a continuous variable. Is there a model operator in RapidMiner that can run such a regression tree?
I tried Decision Tree, CHAID and Random Forest operators. However, all of them gave the same error message: 'CHAID cannot handle numeric label".
Is this just a limitation to Trial version?
Thanks
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Answers
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Hi,
most of the decision tree implementation do not support prediction of numeric labels.
However, you can install the Weka extension from the RapidMiner Marketplace (in RapidMiner Studio, go to Help->Marketplace and search for Weka). Some of the Weka trees can solve such regression problems.
Cheers,
~Marius0