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Classifying Customers Using IBM SPSS Modeler (V16) (0A0U5G)

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Detailed Course Outline

Introduction to Classifying Customers

  • List three modeling objectives
  • List two business questions that involve classifying customers
  • Explain the concept of field measurement level and its implications for selecting a modeling technique
  • List three types of models to classify customers
  • Determine the classification model to use

Building Your Tree Interactively with CHAID

  • Explain how CHAID grows a tree
  • Build a customized model using CHAID
  • Evaluate a CHAID model by means of accuracy, risk, response and gain
  • Use the model nugget to score records

Building Your Tree Interactively with C&R Tree and Quest

  • Explain how C and R Tree grows a tree
  • Explain how Quest grows a tree
  • Build a model interactively using C and R Tree and Quest
  • List two differences between CHAID, C and R Tree, and Quest

Building Your Tree Directly

  • Customize two options in the CHAID node
  • Customize two options in the C and R Tree node
  • Customize two options in the Quest node
  • Customize two options in the C5.0 node
  • Use the Analysis node and the Evaluation node to evaluate and compare models
  • List two differences between CHAID, C and R Tree, Quest, and C5.0

Using Traditional Statistical Models

  • Explain key concepts for Discriminant
  • Customize one option in the Discriminant node
  • Explain key concepts for Logistic
  • Customize one option in the Logistic node
  • List two differences between Discriminant and Logistic

Using Machine Learning Models

  • Explain key concepts for Neural Net
  • Customize one option in the Neural Net node