Feature Engineering and Selection: A Practical Approach for Predictive Models

1st Edition

Max Kuhn, Kjell Johnson

Chapman and Hall/CRC
Published August 2, 2019
Reference - 298 Pages
ISBN 9781138079229 - CAT# K34401
Series: Chapman & Hall/CRC Data Science Series

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Summary

The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.