Machine Learning with SAS Viya

Chapter 8: Decision Trees: Ensembles and Forests

Introduction

Forest Models

Building Ensemble Models: Ensembles of Trees

Building Forests

Model Studio: Bagging

Bagging Method

Boosting

Gradient Boosting with Decision Trees

Details: Gradient Boosting with an Interval Target

Model Studio: Autotuning Gradient Boosting Parameters

Demo 8.1: Building a Gradient Boosting Model

Practice: Building a Gradient Boosting Model

Model Studio: Autotuning Forest Model Options

Demo 8.2: Modeling a Binary Target with a Forest

Practice: Building a Forest Model

Pros and Cons of Tree Ensembles

Pros

Cons

Quiz

Introduction

A forest is an ensemble of simple decision trees, each one able to produce its own response to a set of input variables. For classification problems, ...