We began with the idea of recursive partitioning and gave a legitimate reason as to why such an approach is practical. The CART technique is completely demystified by using the
getNode function, which has been defined appropriately depending upon whether we require a regression or a classification tree. With the conviction behind us, we applied the
rpart function to the German credit data, and with its results, we had basically two problems. First, the fitted classification tree appeared to overfit the data. This problem may many times be overcome by using the
cp options. The second problem was that the performance was really poor in the validate region. Though the reduced classification trees had slightly better performance ...