Machine Learning with R Cookbook - Second Edition

How it works...

The adabag package provides a function to perform the k-fold validation with either the bagging or boosting method. In this example, we use bagging.cv to make the k-fold cross-validation with the bagging method. We first perform a 10-fold cross validation with 10 iterations by specifying v=10 and mfinal=10. Please note that this is quite time consuming due to the number of iterations. After the cross-validation process is complete, we can obtain the confusion matrix and average errors (0.058 in this case) from the cross-validation results.