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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.
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|Section 1: Mastering and Tuning Trees Seminar|
Characteristics of Tree Models
Supervised Segmentation in Modeler
Trees and Rules
Additional Uses of Trees
A First Look at the Data Set
How does the CHAID algorithm work
Using Autoclassifer to run multiple CHAID settings
How does the C&RT algorithm work?Preview
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?
|Section 2: Question and Answer Session|
Question and Answer Introduction
Decision List for Data Reduction?
Does Feature Selection Take Care of Interactions in Data Reduction?
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:
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.