Book Image

IBM SPSS Modeler Cookbook

Book Image

IBM SPSS Modeler Cookbook

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)
10
Index

Implementing champion/challenger model management


In most real-world predictive analytics applications, models must change over time. This need for change is often due to evolving customer behavior, new offerings/promotions, and/or changes in data availability. Regardless of the reason necessitating change, it's often advantageous to automate the process of building updated models. Frequency of the model refresh process depends on the nature of the business. In some rapidly changing businesses, the refresh process is sub-hourly and automation is an absolute necessity.

With the champion/challenger technique, the currently deployed model is called the champion model. New models built by training on the latest data are called the challenger models. Challenger models can replace the champion model if the challenger is more effective than the champion model. Model effectiveness can be defined many ways including, but not limited to, mean absolution percent error (MAPE) for continuous targets and...