Chapter 5 Classification

Learning objectives:

• Describe the general approach to binary classification.
• Use naive Bayes to predict a binary categorical variable from categorical predictors.
• Use linear discriminant analysis (LDA) to predict a binary categorical variable from normally distributed or categorical predictors.
• Use logistic regression to predict a binary categorical variable from predictors.
• Evaluate classification models.
• Deal with imbalanced data.