4 - Logistic GAMs for Classification

In the first three chapters, you used GAMs for regression of continuous outcomes. In this chapter, you will use GAMs for classification. You will build logistic GAMs to predict binary outcomes like customer purchasing behavior, learn to visualize this new type of model, make predictions, and learn how to explain the variables that influence each prediction.

1Types of model outcomes

2Classifying purchasing behavior

3Purchase behavior with multiple smooths

4Visualizing logistic GAMs

5Visualizing influences on purchase probability

6Interpreting purchase effect plots (I)

7Interpreting purchase effect plots (II)

8Interpreting purchase effect plots (III)

9Making predictions

10Predicting purchase behavior and uncertainty

11Explaining individual behaviors

12Doing more with GAMs