Binary Classification

A type of supervised machine learning task where the goal is to categorize items into one of exactly two classes. In accessibility research, binary classification has been applied to automatically determine whether a bug report is accessibility-related or not, whether user reviews mention accessibility concerns, and whether web pages meet accessibility standards. Common algorithms used for binary classification include decision trees, support vector machines, random forests, and neural networks.