Man pages for adabag
Applies Multiclass AdaBoost.M1, SAMME and Bagging

adabag-internalInternal 'adabag' functions
adabag-packageApplies Multiclass AdaBoost.M1, SAMME and Bagging
autopruneBuilds automatically a pruned tree of class 'rpart'
baggingApplies the Bagging algorithm to a data set
bagging.cvRuns v-fold cross validation with Bagging
boostingApplies the AdaBoost.M1 and SAMME algorithms to a data set
boosting.cvRuns v-fold cross validation with AdaBoost.M1 or SAMME
errorevolShows the error evolution of the ensemble
importanceplotPlots the variables relative importance
MarginOrderedPruning.BaggingMarginOrderedPruning.Bagging
marginsCalculates the margins
plot.errorevolPlots the error evolution of the ensemble
plot.marginsPlots the margins of the ensemble
predict.baggingPredicts from a fitted bagging object
predict.boostingPredicts from a fitted boosting object
adabag documentation built on Jan. 20, 2018, 9:04 a.m.