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IBM SPSS Modeler Cookbook

IBM SPSS Modeler Cookbook

By : Keith McCormick, Abbott
4.4 (20)
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IBM SPSS Modeler Cookbook

IBM SPSS Modeler Cookbook

4.4 (20)
By: Keith McCormick, Abbott

Overview of this book

IBM SPSS Modeler is a data mining workbench that enables you to explore data, identify important relationships that you can leverage, and build predictive models quickly allowing your organization to base its decisions on hard data not hunches or guesswork. IBM SPSS Modeler Cookbook takes you beyond the basics and shares the tips, the timesavers, and the workarounds that experts use to increase productivity and extract maximum value from data. The authors of this book are among the very best of these exponents, gurus who, in their brilliant and imaginative use of the tool, have pushed back the boundaries of applied analytics. By reading this book, you are learning from practitioners who have helped define the state of the art. Follow the industry standard data mining process, gaining new skills at each stage, from loading data to integrating results into everyday business practices. Get a handle on the most efficient ways of extracting data from your own sources, preparing it for exploration and modeling. Master the best methods for building models that will perform well in the workplace. Go beyond the basics and get the full power of your data mining workbench with this practical guide.
Table of Contents (11 chapters)
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10
Index

Creating a bootstrap sample


A bootstrap sample is a random sample with replacement, meaning that each record has an equal chance of being selected; after it has been selected, that record has an equal chance of being selected again. Usually, when we select records for training and testing, we sample without replacement, so that each record will appear in only the training or the testing data set.

In this recipe we learn how to build bootstrap samples, a feature not included in Modeler.

Getting ready

This recipe uses the datafile cup98lrn_reduced_vars3.sav and the stream Recipe – bootstrap one sample.str.

How to do it...

To create a bootstrap sample:

  1. Open the stream Recipe – bootstrap one sample.str by navigating to File | Open Stream.

  2. Make sure the datafile points to the correct path to the datafile cup98lrn_reduced_vars3.sav.

  3. Open the Derive node ,recordID. The formula for the node is just the @INDEX function that returns an integer number indicating the record number. Click on OK.

  4. Open the supernode...

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