Logistic Regression Basics

Summary

A close cousin of linear regression used for classification problems — predicting a yes/no outcome (e.g. will this customer churn) rather than a continuous number.

• 1Learn conceptually how logistic regression outputs a probability, not a raw number.
• 2Fit a basic logistic regression model on a simple binary-outcome dataset.
• 3Understand the difference between classification accuracy and a confusion matrix.