Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 3 Minute(s)
Language
English
Taught by
Sandy Midili
Rating
Course Overview
IBM SPSS Modeler Seminar Series
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.
Course Content
- 2 section(s)
- 24 lecture(s)
- Section 1 Mastering and Tuning Trees Seminar
- Section 2 Question and Answer Session
What You’ll 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
Skills covered in this course
Reviews
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MMeg Lim Bee Chee
it totally can't understand what he trying to teach
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MMert Sendag
If you know enough SPSS, this course is the one for you. I really learned a lot. Thanks!
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AAmy whetzel
Instructor spoke clearly and definitely had a lot of knowledge. As someone fairly new to SPSS I would have liked an intermediate modeling class. I felt like the jump from Basic SPSS to Mastering Decision trees was difficult to grasp; at least for me. I feel like there needs to be class before this one. Maybe one has been added that I did not see.
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GGerald Sheble
jumps into the middle of a subject, still interesting
