Definition:

The machine learning task of learning a function that maps features to reference data based on example features-reference pairs. In supervised learning, each example is a pair consisting of a feature and a desired reference data value . A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.