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.
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