Introduction

Classification has massive application in real life. With the enormous growth of information datasets, data scientists or analysts often require high-performance classification algorithms to identify objects belonging to predefined categories; for example, predicting a customer as a potential buyer or not, classifying a product as defective or not, a customer as likely to default on a payment or not, and even analyzing sentiments in real time. This chapter covers recipes to use R to apply several classification techniques.