The Applied Artificial Intelligence Workshop

4. An Introduction to Decision Trees

Overview

This chapter introduces you to two types of supervised learning algorithms in detail. The first algorithm will help you classify data points using decision trees, while the other algorithm will help you classify data points using random forests. Furthermore, you'll learn how to calculate the precision, recall, and F1 score of models, both manually and automatically. By the end of this chapter, you will be able to analyze the metrics that are used for evaluating the utility of a data model and classify data points based on decision trees and random forest algorithms.

Introduction

In the previous two chapters, we learned the difference between regression and classification problems, and we saw ...