A test set is a vital, unseen portion of Data, held separate to impartially gauge the performance of a Machine Learning model. It serves as the ultimate, independent examination, revealing how well the model generalizes to new, real-world examples. Its integrity is crucial for an honest evaluation of a predictive algorithm's true capabilities.