Chapter 3: Get out the vote

In the third case study, you will use data on attitudes and beliefs in the United States to predict voter turnout. You will apply your skills in dealing with imbalanced data and explore more resampling options.

1Predicting voter turnout from survey data

2Choosing an appropriate model

3Exploring the VOTER data

4Visualization for exploratory data analysis

5Imbalanced data

6Fit a simple model

7VOTE 2016

8Training and testing data

9Upsampling for imbalanced data

10Cross-validation

11Understanding cross-validation

12Training models with cross-validation

13Comparing model performance

14Confusion matrix for your training data

15Confusion matrix for your testing data

16Which model is best?