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ROC Convex Hull

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Encyclopedia of Machine Learning and Data Mining
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The convex hull of an ROC curve is a geometric construction that selects the points on the curve that are optimal under some class and cost distribution. It is analogous to the Pareto front in multiobjective optimization. See ROC Analysis.

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(2017). ROC Convex Hull. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_734

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