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IBM SPSS Modeler Essentials

You're reading from   IBM SPSS Modeler Essentials Effective techniques for building powerful data mining and predictive analytics solutions

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788291118
Length 238 pages
Edition 1st Edition
Concepts
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Authors (2):
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Keith McCormick Keith McCormick
Author Profile Icon Keith McCormick
Keith McCormick
Jesus Salcedo Jesus Salcedo
Author Profile Icon Jesus Salcedo
Jesus Salcedo
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Toc

Contrasting model assessment with the Evaluation phase


As we briefly discussed in Chapter 1Introduction to Data Mining and Predictive Analytics, model assessment (a modeling phase task) is quite different from the Evaluation phase. Some of the same tools can apply to both, but the stage of the project and the thought process is quite different. During model assessment, you are potentially comparing a large number of models. You may even try dozens of variations of algorithms, settings, and modifications to the data.

Therefore, you need easy, objective criteria on which to rank these models. Our colleagues and management simply will not have the time to be brought in to judge the efficacy of dozens of models so we need to narrow it down to just a couple of models before the Evaluation phase begins. Tom Khabaza, one of the original authors of CRISP-DM has written the Nine Laws of Data Mining (http://khabaza.codimension.net/index_files/9laws.htm) and the 8th Law of Data Mining is the Value...

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