Intro to Predictive Modeling

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