Predictive Modeling with SAS Enterprise Miner, 2nd Edition

Chapter 5: Neural Network Models to Predict Response and Risk

5.1 Introduction

5.1.1 Target Variables for the Models

5.1.2 Neural Network Node Details

5.2 A General Example of a Neural Network Model

5.2.1 Input Layer

5.2.2 Hidden Layers

5.2.3 Output Layer or Target Layer

5.2.4 Activation Function of the Output Layer

5.3 Estimation of Weights in a Neural Network Model

5.4 A Neural Network Model to Predict Response

5.4.1 Setting the Neural Network Node Properties

5.4.2 Assessing the Predictive Performance of the Estimated Model

5.4.3 Receiver Operating Characteristic (ROC) Charts

5.4.4 How Did the Neural Network Node Pick the Optimum Weights for This Model?

5.4.5 Scoring a Data Set Using the Neural Network Model

5.4.6 Score Code

5.5 A Neural Network ...