How can we explain how a machine learning model makes predictions?
Published:
Machine learning has made incredible progress in recent years, particularly in healthcare and biomedical research. We now train models that can classify, predict, and even guide decision-making in sensitive contexts. But an important question remains: how do we know what these models actually see in the data, and how do they make their predictions?
