Unmasking the chameleons: A benchmark for out-of-distribution detection in medical tabular data
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Background: Machine Learning (ML) models often struggle to generalize effectively to data that deviates from the training distribution. This raises significant concerns about the reliability of real-world healthcare systems encou... ...
