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Predicting Continuous Targets Using IBM SPSS Modeler




Predicting Continuous Targets Using IBM SPSS Modeler 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).


Additional Courses

Follow-On Course

Key Topics

Introduction to Predicting Continuous Targets

  • List modeling objectives
  • List business questions that involve predicting continuous targets
  • Explain the concept of field measurement level and its implications for selecting a modeling technique
  • List types of models to predict continuous targets
  • Determine the classification model to use

Building Your Tree Interactively

  • Explain how CHAID grows a tree
  • Explain how C&R Tree grows a tree
  • Build CHAID and C&R Tree models interactively
  • Evaluate models for continuous targets
  • Use the model nugget to score records

Building Your Tree Directly

  • Customize options in the CHAID node
  • Customize options in the C&R Tree node
  • List differences between CHAID and C&R Tree

Using Traditional Statistical Models

  • Explain key concepts for Linear
  • Customize options in the Linear node
  • Explain key concepts for Cox
  • Customize options in the Cox node

Using Machine Learning Models

  • Explain key concepts for Neural Net
  • Customize options in the Neural Net node

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