# R logistic regression and model evaluation

# Background

Go through the logistic regression tutorial.

# Excercise

At this point, you already should have a basic analysis ready (including building of a predictive model) for your final project.

Build a logistic regression model for the dataset used in your final project.

# Excercise

Try to compare the performance of a logistic regression model build for your final project with some other model (not necessarily built in R).

Focus on:

- Classification Rate
- ROC Curve
- Confusion matrix

Follow the logistic regression tutorial.