Classification is a supervised learning task where the model assigns each input to one of several predefined categories: spam or not spam, positive or negative review, approved or denied loan. The model learns the mapping from labeled examples during training. Binary classification has two classes; multi-class classification has more. A Moroccan bank might classify transactions as fraudulent or legitimate, while an e-commerce site classifies customer support tickets by urgency.