R: Unleash Machine Learning Techniques

Chapter 6. Classification and Regression Trees

	"The classifiers most likely to be the best are the random forest (RF) versions, the best of which (implemented in R and accessed via caret), achieves 94.1 percent of the maximum accuracy overcoming 90 percent in the 84.3 percent of the data sets."
	-- Fernández-Delgado et al. (2014)

Introduction

This quote from Fernández-Delgado et al. in the Journal of Machine Learning Research is meant to set the stage that the techniques in this chapter are quite powerful, particularly when used for classification problems. Certainly, they are not always the best solution but they do provide a good starting point.

In the previous chapters, we examined the techniques to predict either a quantity or a label classification. ...