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.
Author: Max Kuhn,Kjell Johnson
Publisher: CRC Press, Taylor & Francis Group
Publish Date: 2020
Edition: 1
ISBN: 1138079227
ISBN 13: 9781138079229
Dimension: Length: 7.2 inches, Width: 0.9 inches, Height: 10 inches
Weight: Weight: 1.79015356744 pounds
Binding: Hardcover
Pages: 297
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.
Author: Max Kuhn,Kjell Johnson
Publisher: CRC Press, Taylor & Francis Group
Publish Date: 2020
Edition: 1
ISBN: 1138079227
ISBN 13: 9781138079229
Dimension: Length: 7.2 inches, Width: 0.9 inches, Height: 10 inches
Weight: Weight: 1.79015356744 pounds
Binding: Hardcover
Pages: 297