Binary Classification

Binary classification is a core machine learning task that sorts data into one of two distinct categories, answering yes/no questions like whether an email is spam, a patient has a disease, or a transaction is fraudulent. The model learns from labeled examples, then outputs a probability between 0 and 1, using a decision threshold to assign the final class.