Week 8: Oct 14 – Oct 18
Weekly Objectives
- Understand the definition of 0/1 loss and a classifier
- Understand 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
- As a continuation of Week 6, we will introduce the regression tree
models, which builds adaptive kernels.
Lecture Notes and R Examples
Additional Readings
Homework