cm010 - February 8, 2017

Overview

• Demonstrate the use of logistic regression for classification
• Identify methods for assessing classification model accuracy
• Define a decision tree
• Demonstrate how to estimate a decision tree
• Define and estimate a random forest
• Introduce the caret package for statistical learning in R