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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 8. CLEM Scripting

In this chapter, we will cover:

  • Building iterative Neural Network forecasts
  • Quantifying variable importance with Monte Carlo simulation
  • Implementing champion/challenger model management
  • Detecting outliers with the jackknife method
  • Optimizing K-means cluster solutions
  • Automating time series forecasts
  • Automating HTML reports and graphs
  • Rolling your own modeling algorithm – Weibull analysis

Introduction

IBM SPSS Modeler is the core product in an incredibly powerful and scalable predictive analytics platform. The visual, point-n-click Modeler interface makes it almost immediately accessible to business analysts or anyone with a quantitative background. However, having a tool that is easy to use but cannot be automated severely limits ...

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