Chapter 4 Classification

Learning objectives:

• Compare and contrast classification with linear regression.
• Perform classification using logistic regression.
• Perform classification using linear discriminant analysis (LDA).
• Perform classification using quadratic discriminant analysis (QDA).
• Perform classification using naive Bayes.
• Identify the strengths and weaknesses of the various classification models.
• Model count data using Poisson regression.