Binary Classification

Binary classification is a method in data analysis where items are sorted into one of two distinct categories. Think of it like sorting emails into "spam" or "not spam." A model is trained using examples, learning to recognize patterns that help it decide which category a new item belongs to. This technique is widely used in various fields, such as identifying fraudulent transactions, diagnosing medical conditions, or even determining if an image contains a cat or not. The goal is to accurately predict the category based on the features of the data presented.