Classifier

A classifier analyzes input features and determines which category or label best represents the data. Classifiers may distinguish between two classes, known as binary classification, or multiple classes. In AI safety systems, classifiers can also analyze prompts and responses to identify categories such as harmful content, sensitive information, toxicity, or policy violations.

Classifiers enable automated systems to categorize large volumes of data quickly and consistently. They support decision-making, content filtering, threat detection, and data organization. The effectiveness of a classifier is commonly evaluated using metrics such as precision, recall, accuracy, and F1 score.