Mastering Machine Learning with R - Second Edition

More Classification Techniques - K-Nearest Neighbors and Support Vector Machines

"Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write."                                                                                                                        - H.G. Wells

In Chapter 3, Logistic Regression and Discriminant Analysis, we discussed using logistic regression to determine the probability that a predicted observation belongs to a categorical response what we refer to as a classification problem. Logistic regression was just the beginning of classification methods, with a number of techniques that we can use to improve our predictions.

In this chapter, we will delve into two nonlinear ...