You might look at the 'bag' function in the caret package. It will not
do the subsampling of variables at each split but you can bag a tree
and down-sample the data at each iteration. The help page has an
examples bagging ctree (although you might want to play with the tree
depth a little).
Max
O
Hi all,
I've been using the randomForest package and I'm trying to make the switch
over to party. My problem is that I have an extremely unbalanced outcome
(only 1% of the data has a positive outcome) which makes resampling methods
necessary.
randomForest has a very useful argument that is sampsi
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