👉 Hyperaccuracy is a concept in machine learning and AI that refers to the degree of accuracy or precision achieved by a model when trained on large datasets. It measures how closely the model's predictions match the true values predicted by other models, without any human intervention. In simpler terms, hyperaccuracy means that a model performs well even if it makes mistakes from time to time. This is because the model has enough data to learn the underlying patterns and relationships between features, which helps in making accurate predictions on unseen
