O'Reilly logo

Data Preparation for Analytics Using SAS by Gerhard Svolba

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 20

Coding for Predictive Modeling

 

20.1 Introduction

20.2 Proportions or Means of the Target Variable

20.3 Interval Variables and Predictive Modeling

20.4 Validation Methods

20.5 Conclusion

 

20.1  Introduction

20.1.1  The Scope of This Chapter

Many data mining analyses deal with predictive modeling tasks. Either the occurrence of an event or a value has to be predicted. Examples of predictive modeling business questions include the prediction of a contract cancellation, the delinquency of a customer’s loan, or the claim amount for an insurance customer.

Data mining analysis not only starts with the creation of a predictive model, it also deals with creating and preparing meaningful derived variables. In earlier chapters we saw a ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required