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IBM SPSS Modeler Cookbook

You're reading from   IBM SPSS Modeler Cookbook If you've already had some experience with IBM SPSS Modeler this cookbook will help you delve deeper and exploit the incredible potential of this data mining workbench. The recipes come from some of the best brains in the business.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781849685467
Length 382 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Data Understanding FREE CHAPTER 2. Data Preparation – Select 3. Data Preparation – Clean 4. Data Preparation – Construct 5. Data Preparation – Integrate and Format 6. Selecting and Building a Model 7. Modeling – Assessment, Evaluation, Deployment, and Monitoring 8. CLEM Scripting A. Business Understanding Index

Merging a lookup table

Nominal variables with more than several categories pose a potential problem. First, fields with a large number of categories can significantly increase processing time. Second, these fields can potentially have categories with very few cases, which can become problematic (for example, they might be outliers or just difficult to understand). Third, these fields might not even be used by certain models (see the following screenshot). Finally, fields with a large number of categories might not really get at the crux of the real characteristics of interest. Many new users of Modeler don't realize that many algorithms are automatically transforming nominal variables behind the scenes. Within the General Setting in Stream Properties, there are two options designed to prevent this problem from getting out of hand.

Merging a lookup table

As mentioned earlier, many times fields with a large number of categories might not really get at the real characteristics of interest and therefore sometimes...

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