Multiclass Classification

Multiclass classification is a type of machine learning where a computer learns to assign items to one of several categories based on their features. For example, distinguishing different types of fruits (apples, oranges, bananas) based on characteristics like color and size. The algorithm analyzes labeled examples to understand patterns, then predicts the correct category for new, unseen items. This technique is widely used in applications like image recognition, email filtering, and medical diagnosis, enabling systems to handle tasks involving multiple possible outcomes efficiently and accurately.