Machine Learning with R Cookbook - Second Edition

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In addition to using the boosting function in the adabag package, one can also use the caret package to perform a classification with the boosting method:

1. First, load the mboost and pROC package:

        > library(mboost)
        > install.packages("pROC")
        > library(pROC)  

2. We can then set the training control with the trainControl function and use the train function to train the classification model with AdaBoost.M1:

        > set.seed(2)
        > ctrl = trainControl(method = "repeatedcv", repeats = 1, class        Probs = TRUE, summaryFunction = twoClassSummary)
        > ada.train = train(churn ~ ., data = trainset, method = "ada",         metric = "ROC", trControl = ctrl)  

3. Use the summary function to obtain the details of the classification model:

 > ada.train$result ...