Week 8: Oct 13 – Oct 17
Weekly Objectives
- Understand the definition of 0/1 loss and a classifier and the Bayes
rule
- Understand how LDA and QDA model and predict classes for testing
data
- Use the
lda() and qda() to fit
classification models and compare them with other approaches
- Understand issues for multi-class classification problems
- Know how to build a classification tree for multi-class
classification problems
- Use the
rpart package to fit CART
Lecture Notes and R Examples
Additional Readings
Homework