Training Set vs Validation Set

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.

A labeled dataset used during model development to evaluate machine learning performance on unseen data, guiding hyperparameter tuning and model selection before final evaluation on completely separate test data.