Preface
1 Introduction
2 Illustrative Example: Predicting Risk of Ischemic Stroke
3 A Review of the Predictive Modeling Process
4 Exploratory Visualizations
5 Encoding Categorical Predictors
6 Engineering Numeric Predictors
7 Detecting Interaction Effects
8 Handling Missing Data
9 Working with Profile Data
10 Feature Selection Overview
11 Greedy Search Methods
12 Global Search Methods
References
Errata and Version History

Feature Engineering and Selection: A Practical Approach for Predictive Models

11.6 Computing

R programs for reproducing these analysis will be found at http://bit.ly/fes-greedy.