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I have to write code to implement regression using random forests (by default Weka provides random forests for classification). Is this possible to do?

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    $\begingroup$ It is certainly in the realm of possibility. But what is your question? If this is purely about Weka programming, it is off-topic. If you are interested in a particular statistical aspect of RF regression, please update your question accordingly. $\endgroup$
    – chl
    Commented Feb 20, 2013 at 12:57
  • $\begingroup$ This is what random forests are for, no? For regression! So random forests already are a regression algorithm. Or am I wrong? $\endgroup$
    – Tomas
    Commented Nov 6, 2014 at 17:04

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It appears that WEKA 3.7's RandomForest implementation supports a numeric class attribute, whereas 3.6 did not.

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It is absolutely possible. Both python and R have implementations of random forests for regression. Perhaps your should change tools?

Or you can use rJava to run R from within Java.

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