Метка — целевое значение или категория, связанная с примером в обучении с учителем. Во время обучения модель изучает отношения между входными признаками и метками, чтобы предсказывать метки для новых примеров.
The element to be predicted with the machine learning model. For example, the breed of dog or a future stock price.
In supervised machine learning, the "answer" or "result" portion of an example. Each labeled example consists of one or more features and a label. For example, in a spam detection dataset, the label would probably be either "spam" or "not spam." In a rainfall dataset, the label might be the amount of rain that fell during a certain period. See Supervised Learning in Introduction to Machine Learning for more information.
In machine learning, data for which you already know the target or "correct" answer.