Multi-Class Classification

Multi-class classification is a type of machine learning task where a model learns to categorize data into more than two groups. For example, identifying whether an email is spam, or belongs to categories like work, personal, or promotions. The model analyzes features of each item and predicts which specific category it fits best. It’s used in many applications, including image recognition, language processing, and medical diagnosis, to automatically assign data points to their proper classes based on learned patterns.