Abstract Throughout science and technology, receiver operating characteristic (ROC) curves associated area under the curve ( $$\mathrm{AUC}$$ AUC ) measures constitute powerful tools for assessing predictive abilities of features, markers tests in binary classification problems. Despite its immense popularity...

The justification for making a measurement can be sought in asking what decisions are based on measurement, such as assessing the compliance of quality characteristic an entity relation to specification limit, SL. relative performance testing devices and classification algorithms used is often evaluated using venerable ever popular receiver operating (ROC). However, ROC tool has potentially all...

OBJECTIVES We used reflectance and fluorescence spectroscopy to noninvasively and quantitatively distinguish benign from dysplastic/malignant oral lesions. We designed diagnostic algorithms to account for differences in the spectral properties among anatomic sites (gingiva, buccal mucosa, etc). METHODS In vivo reflectance and fluorescence spectra were collected from 71 patients with oral lesi...

Air monitoring surveys were conducted between 1998 and 2001 at seven non-metal mining facilities to assess exposure to respirable elemental carbon (REC), a component of diesel exhaust (DE), for an epidemiologic study of miners exposed to DE. Personal exposure measurements were taken on workers in a cross-section of jobs located underground and on the surface. Air samples taken to measure REC we...

Which eyewitness identification procedure better enables eyewitnesses to discriminate between innocent and guilty suspects? In other words, which procedure better enables eyewitnesses to sort innocent and guilty suspects into their correct categories? The answer to that objective, theory-free question is what policymakers need to know, and it is precisely the information that ROC analysis provi...

Receiver operating characteristic (ROC) curves are very popular for evaluating a diagnostic test or score performances in various decision making applications: medicine, marketing, credit scoring etc. The ROC curve provides a concise graphical representation of the trade off between sensitivity and specificity. We will focus here on supervised classification into two groups. Error rate estimati...