Intro to Predictive Modeling

Albany, NY

This workshop will introduce the basic concepts and procedures for predictive modeling in R including:

  • How to evaluate the quality of predictive models using confusion matrices and ROC curves
  • Classification and regression trees (CART methods)
  • Ensemble methods (e.g. random forests, boosting, bagging)
  • Discussion of issues and limitations of “black box” predictive modeling