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R Statistical Application Development by Example Beginner's Guide by Prabhanjan Narayanachar Tattar

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Chapter 10. CART and Beyond

In the previous chapter, we studied CART as a powerful recursive partitioning method, useful for building (non-linear) models. Despite the overall generality, CART does have certain limitations that necessitate some enhancements. It is these extensions that form the crux of the final chapter of this book. For some technical reasons, we will focus solely on the classification trees in this chapter. We will also briefly look at some limitations of the CART tool.

The first improvement that can be made to the CART is provided by the bagging technique. In this technique, we build multiple trees on the bootstrap samples drawn from the actual dataset. An observation is put through each of the trees and a prediction is made ...

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