Logistic regression is a statistical model for binary classification. Despite its name, it is used for classification tasks rather than regression.

Example: Similar to how a doctor evaluates multiple symptoms to assess disease probability rather than giving a simple yes/no answer. It is widely used in credit scoring, spam detection, and medical diagnosis.