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.