The Fuzzy ROC
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2019-03-06 v1 Machine Learning
Abstract
The fuzzy ROC extends Receiver Operating Curve (ROC) visualization to the situation where some data points, falling in an indeterminacy region, are not classified. It addresses two challenges: definition of sensitivity and specificity bounds under indeterminacy; and visual summarization of the large number of possibilities arising from different choices of indeterminacy zones.
Cite
@article{arxiv.1903.01868,
title = {The Fuzzy ROC},
author = {Giovanni Parmigiani},
journal= {arXiv preprint arXiv:1903.01868},
year = {2019}
}