1.1 Structure of the book

The book is divided into two main parts:

• Feature engineering (techniques for augmenting predictors - chapters 2-9)

  • Predicting risk of Ischemic
  • Review of the PMP (predictive modeling process)
  • Exploratory visualization
  • Encoding categorical predictors
  • Engineering numeric predictors
  • Detecting interaction effects
  • Handling missing data
  • Working with profile data (time series analysis)

• Feature selection (methods for filtering the enhanced predictors - chapters 10-12)

  • Overview
  • Greedy search methods (simple filters and eliminations)
  • Golbal search methods (predictor space investigations)