Machine Learning with R Cookbook - Second Edition

Introduction

Model evaluation is performed to ensure that a fitted model can accurately predict responses for future or unknown subjects. Without model evaluation, we might train models that over-fit in the training data. To prevent overfitting, we can employ packages, such as caret, rminer, and rocr to evaluate the performance of the fitted model.

In the following chapter, we will discuss how one can implement a simple R script or use one of the packages (for example, caret or rminer) to evaluate the performance of a fitted model.