Practical Machine Learning with R

Chapter 4

Introduction to neuralnet and Evaluation Methods

Learning Objectives

By the end of this chapter, you will be able to:

• Use a neural network to solve a classification problem by using the neuralnet package.
• Create balanced partitions from a dataset, while decreasing leakage, with the groupdata2 package.
• Evaluate and select between models using cross-validation.
• Explain the concept of multiclass classification.

In this chapter, we aim to equip you with a practical understanding of neural networks.

Introduction

While neural networks have been around in some form since the mid-twentieth century, they have recently surged in popularity. Be it self-driving cars or healthcare technologies, neural networks are fundamental to some of ...