Learning Objectives

After completing the reading and exercises in this chapter, you should be able to:

  • Explain what logistic regression is, how it is used, and the benefits of using it.

  • Recognize the necessary format for data in order to perform predictive logistic regression.

  • Develop logistic regression data mining models in RapidMiner and R using a training data set.

  • Interpret the model's outputs and apply them to a scoring data set in order to deploy the model.