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Mastering and Tuning Decision Trees

IBM SPSS Modeler Seminar Series
3.1 (5 ratings)
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188 students enrolled
Created by Sandy Midili
Last updated 4/2014
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  • 3 hours on-demand video
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  • Certificate of Completion
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IBM SPSS Modeler is a data mining workbench that allows you to build predictive models quickly and intuitively without programming. Analysts typically use SPSS Modeler to analyze data by mining historical data and then deploying models to generate predictions for recent (or even real-time) data.

Overview: Mastering and Tuning Decision Trees is a series of self-paced videos that discusses the decision tree methods (CHAID, C5.0, CRT, and QUEST) available in IBM SPSS Modeler. These techniques produces a rule based predictive model for an outcome variable based on the values of the predictor variables. Students will gain an understanding of the situations in which one would this technique, its assumptions, how to do the analysis automatically as well as interactively, and how to interpret the results. Particular emphasis is made on contrasting CHAID and C&RT in detail. Tuning – the adjusting of parameters to optimize performance – is demonstrated using both CHAID and C&RT.

Who is the target audience?
  • Anyone that has experience with IBM SPSS Modeler or has completed an introductory level data mining course and would like to learn about decision tree models.
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What Will I Learn?
Understand the theory behind classification trees
Differentiate between classification tree algorithms
Know the assumptions of classification trees
Learn the advantage and disadvantages of the different algorithms
Interpret the results
View Curriculum
  • Knowledge or experience with IBM SPSS Modeler or completion of an introductory level data mining course and on the job data mining experience.
Curriculum For This Course
Expand All 24 Lectures Collapse All 24 Lectures 03:03:18
Mastering and Tuning Trees Seminar
16 Lectures 02:19:39
Characteristics of Tree Models

Supervised Segmentation in Modeler

Trees and Rules

Defining Terms

Additional Uses of Trees

A First Look at the Data Set


How does the CHAID algorithm work

Using Autoclassifer to run multiple CHAID settings

Surrogates for Missing Data

C&RT's Expert Settings

CHAID Expert Settings

Audience Question: How do you compare the results of two models?

Should We Adjust the Models

What is Bagging and Boosting?
Question and Answer Session
8 Lectures 43:39
Question and Answer Introduction

Optimal Binning

Interactive Trees

Generate Filter

Decision List

Decision List for Data Reduction?

Does Feature Selection Take Care of Interactions in Data Reduction?

Using Costs
About the Instructor
3.6 Average rating
92 Reviews
583 Students
10 Courses
Business Analytics Training Manager

I have been the Business Analytics Training Manager at QueBIT Consulting since 2006. I am a certified technical trainer and am certified in IBM Cognos products. I can assist you with coordinating a specific training program that will meet your organization's specific educational goals. In addition, I also provide training in:

  • IBM Cognos Business Intelligence
  • IBM Cognos TM1
  • IBM Cognos Planning
  • IBM Cognos Finance

QueBIT's training program is unique because we can tailor our material to your application and make sure we cover the concepts important to you and your personnel. We don't only teach you how to use the solution, but also guide you with proven best practices and tips and instruct you on how to problem solve issues enabling you to become self-sufficient with the tool.

Prior to joining QueBIT, I was a Financial Performance Instructor for Cognos Corporation. During my seven year tenure, I also became a third-level support specialist for Cognos Finance and Cognos Planning.

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