- 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

- Slides
- Logistic regression
- The
`caret`

Package - introductory book for the`caret`

package. Tells you what models you can implement and all the nitty-gritty details to customize`train`

for different cross-validation methods. Chapters 4.1-3, 8.1, 8.2.2 in

*An Introduction to Statistical Learning*

- Start homework 6
- Read chapter 5 in
*An Introduction to Statistical Learning*

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