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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

Relationships between continuous fields

This section examines and quantifies the relationship between two continuous variables. The Plot and Statistics nodes will be discussed over the next few pages. Ideally, we would investigate the relationship between the outcome field and a predictor, however the target field in our dataset is not a continuous variable, therefore we will look at relationships among predictors in the following examples.

Note

Note that it can be extremely important to investigate relationships among predictors so as to avoid problems like multicollinearity (extreme overlap among predictor variables that creates unstable solutions), but also to choose among similar predictors in terms of practicality or cost-effectiveness.

Plot node

The Plot node shows relationships between continuous fields. The Plot node allows users to visually check the relationship between two continuous fields by creating a scatter plot. A scatter plot displays individual observation in an area determined...

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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.

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