Reid, Mark D.Williamson, Robert C.2026-01-012026-01-011532-4435https://hdl.handle.net/1885/733798930A composite loss assigns a penalty to a real-valued prediction by associating the prediction with a probability via a link function then applying a class probability estimation (CPE) loss. If the risk for a composite loss is always minimised by predicting the value associated with the true class probability the composite loss is proper. We provide a novel, explicit and complete characterisation of the convexity of any proper composite loss in terms of its link and its \weight function" associated with its proper CPE loss.8enConvexity of proper composite binary losses201084862287353