Predictive Modeling with SAS Enterprise Miner, 2nd Edition

Chapter 4: Building Decision Tree Models to Predict Response and Risk

4.1 Introduction

4.2 An Overview of the Tree Methodology in SAS Enterprise Miner

4.2.1 Decision Trees

4.2.2 Decision Tree Models

4.2.3 Decision Tree Models vs. Logistic Regression Models

4.2.4 Applying the Decision Tree Model to Prospect Data

4.2.5 Calculation of the Worth of a Tree

4.2.6 Roles of the Training and Validation Data in the Development of a Decision Tree

4.2.7 Regression Tree

4.3 Development of the Tree in SAS Enterprise Miner

4.3.1 Growing an Initial Tree

4.3.2 P-value Adjustment Options

4.3.3 Controlling Tree Growth: Stopping Rules

4.3.4 Pruning: Selecting the Right-Sized Tree Using Validation Data

4.3.5 Step-by-Step Illustration of Growing and Pruning a Tree ...