Supervised Learning vs Training Set

A machine learning approach where algorithms learn patterns from labeled training data containing both inputs and correct outputs, enabling prediction of outputs from new unseen inputs after training completes.

A labeled dataset used to teach machine learning algorithms patterns by showing examples with both inputs and correct outputs, enabling the algorithm to learn relationships before making predictions on unseen data.