Applies Adaboost.M1 and Bagging
Description
This package implements Freund and Schapire's Adaboost.M1
algorithm and Breiman's Bagging algorithm using classification
trees as individual classifiers. Once these classifiers have
been trained, they can be used to predict on new data. Also,
cross validation predictions can be done. This version 2.0
adds a new function "margins" to calculate the margins for
these classifiers. Also a higher flexibility is achieved
giving access to the "rpart.control" argument of "rpart".