Machine Learning with R Cookbook - Second Edition

How to do it...

Perform the following steps to generate a classification model for the telecom churn dataset:

1. First, you need to install and load the adabag package (it might take a while to install adabag):

        > install.packages("adabag")
        > library(adabag)  

2. Next, you can use the bagging function to train a training dataset (the result may vary during the training process):

        > set.seed(2)
        > churn.bagging = bagging(churn ~ ., data=trainset, mfinal=10)      

3. Access the variable importance from the bagging result:

         > churn.bagging$importance        Output:           international_plan number_customer_service_calls               10.4948380           16.4260510         number_vmail_messages total_day_calls                0.5319143           0.3774190              total_day_charge total_day_minutes                0.0000000          28.7545042  total_eve_calls ...