Predictive Modeling with SAS Enterprise Miner, 3rd 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

4.3.3.1 Controlling Tree Growth through the Split Size Property

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