Predictive Models Using the Caret Package

We will cover the following recipes in this chapter:

• Data splitting and general model fitting
• Preprocessing
• Variable importance and feature selection
• Model tuning
• Classification in caret and ROC curves
• Gradient boosting and class imbalance
• Lasso, Ridge, and Elasticnet in caret
• Logic regression