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predict does not work with a crossvalidated tree?

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Tania
Tania 2014년 8월 1일
댓글: Tania 2014년 8월 1일
Hey, I am trying to do the following: rtree = RegressionTree.fit(X,Y,'crossval','on'); pred = predict(rtree,X)
But unfortunately I get a error message.
Does anyone know what I can use instead of pred?
Thank you!

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Shashank Prasanna
Shashank Prasanna 2014년 8월 1일
When you use the 'crossval' 'on' flag you get a partitioned model as an output. You can predict from this model using
kfoldpredict
  댓글 수: 1
Tania
Tania 2014년 8월 1일
Great, it worked!:) Do you know maybe also the other to this question: What is the difference between 'control depth' and 'pruning' in the 'improving classification and regression trees' documentation:
I dont understand why they do both...?!?Both are trying to find the optimal depth through cross validation...
Thanks!

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