An Introduction to ROC Analysis.

Fawcett, T. (2006). An Introduction to ROC Analysis. Pattern Recognition Letters, 27(8), 861-874.

Type

Journal article

Intellectual base

Primary research

Year

2006

DOI

10.1016/j.patrec.2005.10.010

Link

https://doi.org/10.1016/j.patrec.2005.10.010

Cited from

cognitive_science, marine_science

Cited by

3 citations across 3 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Bycatch
  • The precision/recall trade-off and ROC vocabulary inherit directly into fisheries-selectivity design, where gear ROC curves trade target retention against non-target retention.

    This sourceStandard reference on ROC curves, precision/recall, and the false-positive/true-positive trade-off including low-base-rate effects.

• Signal Detection Theory
  • Second, a machine-learning fraud classifier outputs a probability score; the evidence distributions are the score densities for legitimate versus fraudulent transactions, their separation summarized by AUC (sensitivity), and the decision threshold on the score is the criterion.

    This sourceStandard reference on ROC curves, AUC, and decision-threshold tuning for machine-learning classifiers.

Domain-specific

• Binary classification
  • … a score for class positive and assigns positive when the score exceeds a declared threshold, producing a two-by-two table against held-out reference labels. to A document-filtering system can classify each eligible page as relevant or not relevant to a fixed query and collection policy. demonstrates that continuity.

Verification

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