Abstract
It has been suggested that the “Maximum Realisable Receiver Operating Characteristics” for a combination of classifiers is the convex hull of their individual ROCs [Scott et al., 1998]. As expected in at least some cases better ROCs can be produced. We show genetic programming (GP) can automatically produce a combination of classifiers whose ROC is better than the convex hull of the supplied classifier’s ROCs.
Cite
CITATION STYLE
Langdon, W. B., & Buxton, B. F. (2001). Evolving receiver operating characteristics for data fusion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2038, pp. 87–96). Springer Verlag. https://doi.org/10.1007/3-540-45355-5_8
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