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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 theory

CHAID is a decision tree model. It is one of the oldest and most popular data mining techniques. At its core, CHAID is based on the Chi-square test; it chooses the predictors that have the strongest interaction (give the largest Chi-square statistic) with the target field and then it divides the sample based on this predictor. It can use the Pearson or Likelihood ratio Chi-square statistic. In the figure shown next, notice that the Educated_fulltime field is the most important predictor, because this is the field that has the largest Chi-square statistics. In fact, notice that the Chi-square statistic and percentages are exactly the same for both the CHAID model and the Chi-square test. In addition, if the categories of the predictor do not differ significantly from each other, the categories will be merged together. CHAID generates non-binary trees so it tends to create wider trees:

How CHAID processes different types of input variables

When using CHAID, or any algorithm, it...

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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.

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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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