The meaning and use of the area under a receiver operating characteristic (ROC) curve¶
Hanley, & McNeil. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Cited by¶
1 citation across 1 artifact.
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Domain-specific¶
- Receiver Operating Characteristic
- The area under the ROC curve (AUC) collapses discriminability to a single summary number with a clean probabilistic interpretation — the probability that the classifier assigns a higher score to a randomly drawn positive case than to a randomly drawn negative case — making threshold-independent comparison between classifiers or biomarkers tractable.
This sourceThe AUC read as the probability that a randomly chosen diseased subject is ranked with greater suspicion than a randomly chosen non-diseased one, and used to compare the accuracy of diagnostic techniques. The equivalence between the area under the ROC curve and the probability that a randomly chosen diseased subject is ranked above a randomly chosen non-diseased one (the Wilcoxon statistic).
Supported in partVerified against the publisher's abstract
“It is shown that in such a setting the area represents the probability that a randomly chosen diseased subject is (correctly) rated or ranked with greater suspicion than a randomly chosen non-diseased subject.”
- The area under the ROC curve (AUC) collapses discriminability to a single summary number with a clean probabilistic interpretation — the probability that the classifier assigns a higher score to a randomly drawn positive case than to a randomly drawn negative case — making threshold-independent comparison between classifiers or biomarkers tractable.
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Registry ID ref:744ab161446b · see in the full table