Identify the feature of supervised learning.

Works with labelled data

Reason — In supervised learning, the machine learning program is trained on a set of data that has already been labelled. The algorithm learns to find patterns by matching the input data with the given labels. Working without labels and clustering are features of unsupervised learning.