Labelled data
Labelled data (or labeled data in American English) refers to a dataset in which each data point is tagged with one or more meaningful annotations—called labels—that indicate the correct output or classification.
Labelled data has been annotated with information that helps a machine learning model learn to make predictions or classifications.
Example
In a dataset of emails, each email might be labelled as spam or not.
In an image dataset, each image might be labelled with the object it contains, such as a cat, a dog, or a car.
Why it's important
Labelled data is essential for supervised learning, where models are trained to map inputs to known outputs.