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IBM SPSS Modeler Essentials

You're reading from IBM SPSS Modeler Essentials

Product type Book

Published in Dec 2017

Publisher Packt

ISBN-13 9781788291118

Pages 238 pages

Edition 1st Edition

Languages

Concepts

Predictive Analytics

Authors (2):

Jesus Salcedo

Keith McCormick

View More author details

Table of Contents (19) Chapters

Title Page

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Dedication

Preface

1. Introduction to Data Mining and Predictive Analytics

2. The Basics of Using IBM SPSS Modeler

3. Importing Data into Modeler

4. Data Quality and Exploration

5. Cleaning and Selecting Data

6. Combining Data Files

7. Deriving New Fields

8. Looking for Relationships Between Fields

9. Introduction to Modeling Options in IBM SPSS Modeler

10. Decision Tree Models

11. Model Assessment and Scoring

CHAID results

Two panes are visible in the CHAID model window. The pane on the left contains the model in the form of a decision tree. Initially, only the first branch of the tree is visible. The other pane contains a bar chart depicting variable importance, which is a measure that indicates the relative importance of each field in estimating the model. Since the values are relative, the sum of the values for all fields on the display is 1.0. Notice that the Educated_fulltime field is the most important field in this model. The next most important field is Investment, followed by the Sex field. Also notice that only the fields that were used by the model were kept:

The Educated_fulltime field creates the first split in the tree. This information is saying that if Educated_fulltime has a value of No, then mode value for Income_category is less than $50,000. The Mode lists the most frequent category for the branch, and the mode will be the predicted value, unless there are other fields that...

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Authors (2)

Jesus Salcedo

Jesus Salcedo has a PhD in psychometrics from Fordham University. He is an independent statistical consultant and has been using SPSS products for over 20 years. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users.

See other products by Jesus Salcedo

Keith McCormick

Keith McCormick is a career long practitioner of predictive analytics and data science. He has engaged in statistical modeling, data mining, and mentoring others in the area for more than 20 years. He has a particular expertise in helping organizations perform their first predictive analytics project or build their first predictive analytics practice, and has done so in a variety of industries including healthcare, banking, telecommunications, non-profit, direct mail, pharmaceuticals, and retail. Keith is also an established author and speaker with four books in print, or under contract. Although his consulting work is not restricted to any one tool, his writing and speaking has made him particularly well known in the IBM SPSS Statistics and IBM SPSS Modeler communities.

See other products by Keith McCormick

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