Description Usage Arguments Value See Also Examples
Fits the Bagging algorithm proposed by Breiman in 1996 using classification trees as single classifiers.
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formula |
formula specifying the independent and dependent variable columns |
data |
FLTable |
mfinal |
an integer, the number of iterations for which boosting is run or the number of trees to use. Defaults to mfinal=5 iterations. |
control |
options that control details of the rpart algorithm. See rpart for more details. |
An object of class "FLBagging" which has details about the trees generated and the number of votes in bag corresponding to every ObsID.
bagging
for corresponding R function reference.
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