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IBM SPSS Modeler Cookbook by Scott Mutchler, Tom Khabaza, Meta S. Brown, Dean Abbott, Keith McCormick

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Chapter 6. Selecting and Building a Model

In this chapter, we will cover:

  • Evaluating balancing with Auto Classifier
  • Building models with and without outliers
  • Using Neural Network for Feature Selection
  • Creating a bootstrap sample
  • Creating bagged logistic regression models
  • Using KNN to match similar cases
  • Using Auto Classifier to tune models
  • Next-Best-Offer for large data sets

Introduction

Given the obvious importance of Modeling, why only one Chapter? Certainly, one could easily write 1000 pages on the various algorithms and the proof is in the large number of books that have done just that. The goal of this Cookbook, however, is to direct the reader to areas that they might otherwise spend too little time on, or to suggest approaches that are non-obvious. ...

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