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.