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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

Selecting variables using the Means node

In this recipe we will identify and select variables to include as model inputs using the Means node.

Getting ready

This recipe uses the datafile cup98lrn_reduced_vars3.sav and the stream recipe_variableselection_means.str.

You will need a copy of Microsoft Excel to visualize the list of rules (optional).

How to do it...

To identify and select variables to include as model inputs using the Means node:

  1. Open the stream variableselection_means.str by navigating File | Open Stream.
  2. Make sure the datafile points to the correct path to the file cup98lrn_reduced_vars3.sav.
  3. Open the Means node to look at the options. Note that the grouping variable is our target variable TARGET_B, and the test fields are all the continuous variables of interest as shown in the following figure.
    How to do it...
  4. Run the Means node by clicking on Run.
  5. Inside the output window, click on the Importance column twice so that the variables are sorted in descending order of Importance as shown in the following...
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