The main objective of this paper is to propose a novel approach for model comparisons when ROC curves show intersections. We investigate in a theoretical framework the relationship between ROC orderings and stochastic dominance and we propose alternative indicators that could substitute the common AUC measure. We also provide empirical evidence based on a real data set.

Making classifier performance comparisons when Receiver Operating Characteristic curves intersect

GIGLIARANO, CHIARA;
2012-01-01

Abstract

The main objective of this paper is to propose a novel approach for model comparisons when ROC curves show intersections. We investigate in a theoretical framework the relationship between ROC orderings and stochastic dominance and we propose alternative indicators that could substitute the common AUC measure. We also provide empirical evidence based on a real data set.
2012
Figini, S.; Gigliarano, Chiara; Muliere, P.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2044616
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