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  • IBM SPSS Modeler Cookbook
  • Keith McCormick Dean Abbott Meta S. Brown Tom Khabaza Scott R.Mutchler
  • 71字
  • 2021-07-23 16:01:25

Chapter 2. Data Preparation – Select

In this chapter, we will cover:

  • Using the Feature Selection node creatively to remove or decapitate perfect predictors
  • Running a Statistics node on an anti-join to evaluate the potential missing data
  • Evaluating the use of sampling for speed
  • Removing redundant variables using correlation matrices
  • Selecting variables using the CHAID Modeling node
  • Selecting variables using the Means node
  • Selecting variables using single-antecedent Association Rules
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