Browse all content tagged with Binary Classification
Logistic regression is a statistical and machine learning method used for predicting binary outcomes from data. It estimates the probability that an event will occur based on one or more independent variables, and is widely applied in healthcare, finance, marketing, and AI.
A Receiver Operating Characteristic (ROC) curve is a graphical representation used to assess the performance of a binary classifier system as its discrimination threshold is varied. Originating from signal detection theory during World War II, ROC curves are now essential in machine learning, medicine, and AI for model evaluation.
