Predicting Continuous Targets Using IBM SPSS Modeler (V16)
Predicting Continuous Targets Using IBM SPSS Modeler (v16) is an intermediate level course that provides an overview of how to use IBM SPSS Modeler to predict a target field that describes numeric values. Students will be exposed to rule induction models such as CHAID and C&R Tree. They will also be introduced to traditional statistical models such as Linear Regression. Machine learning models will also be presented. Business use case examples include: predicting the length of subscription (for newspapers, telecommunication, job length, and so forth) and predicting claim amount (insurance).
This intermediate course is for IBM SPSS Modeler Analysts who have completed the Introduction to IBM SPSS Modeler and Data Mining course who want to become familiar with the modeling techniques available in IBM SPSS Modeler to predict a continuous target.
You should have:
Please refer to course overview for description information.
Introduction to Predicting Continuous Targets
Building Your Tree Interactively
Building Your Tree Directly
Using Traditional Statistical Models
Using Machine Learning Models
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