Chapter 3. Classification

In this chapter, you will learn the popular classification algorithms written in the R language. Empirical classifier performance and accuracy benchmarks are also included. Along with the introduction of various classification algorithms, b will also learn various ways to improve the classifier and so on.

Classification has massive applications in modern life. With the exponential growth of the information dataset, there is a need for high performance classification algorithms to judge an event/object belonging to a predefined categories set. Such algorithms have unlimited opportunity for implementation in a wide variety of industries such as bioinformatics, cybercrime, and banking. Successful classification algorithms ...

Get R: Data Analysis and Visualization now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.