What is a label used for?

Correct answer: To indicate the correct class or expected outcome of a data example

A label specifies the correct class or target outcome associated with a data example. In supervised learning, a model learns the relationship between input features and their labels. A feature is an input property, whereas a label is the expected output. Cleaning data and splitting a dataset are separate activities, not the purpose of a label.