Overview
Despite its name, Logistic Regression is used for classification, not regression. It predicts the probability that an instance belongs to a particular category (e.g., Yes/No, Spam/Not Spam).
How it Works
It uses the Logistic Function (Sigmoid Function) to map any real-valued number into a value between 0 and 1, representing a probability.
Use Cases
- Predicting whether a customer will churn.
- Determining if a credit card transaction is fraudulent.
- Medical diagnosis (e.g., presence or absence of a disease).