نتایج جستجو برای: area under curre roc

تعداد نتایج: 1554553  

2018
John T. Wixted Laura Mickes

Receiver operating characteristic (ROC) analysis was introduced to the field of eyewitness identification 5 years ago. Since that time, it has been both influential and controversial, and the debate has raised an issue about measuring discriminability that is rarely considered. The issue concerns the distinction between empirical discriminability (measured by area under the ROC curve) vs. under...

Journal: :CoRR 2011
José Hernández-Orallo Peter A. Flach César Ferri

ROC curves and cost curves are two popular ways of visualising classifier performance, finding appropriate thresholds according to the operating condition, and deriving useful aggregated measures such as the area under the ROC curve (AUC) or the area under the optimal cost curve. In this note we present some new findings and connections between ROC space and cost space, by using the expected lo...

Journal: :Medical decision making : an international journal of the Society for Medical Decision Making 1996
X H Zhou

A synthesis of the empirical Bayes method and the method of estimating equations is used to combine individual receiver operating characteristic (ROC) area estimates from different studies of the same diagnostic test into a single estimate. This single estimate represents the population mean from which individual areas under the ROC curves were sampled. The only data needed to carry out the met...

2003
César Ferri José Hernández-Orallo Miguel A. Salido

Receiver Operating Characteristic (ROC) analysis has been successfully applied to classifier problems with two classes. The Area Under the ROC Curve (AUC) has been elected as a better way to evaluate classifiers than predictive accuracy or error and has also recently used for evaluating probability estimators. However, the extension of the Area Under the ROC Curve for more than two classes has ...

Journal: :The Stata journal 2009
Margaret Pepe Gary Longton Holly Janes

The receiver operating characteristic (ROC) curve displays the capacity of a marker or diagnostic test to discriminate between two groups of subjects, cases versus controls. We present a comprehensive suite of Stata commands for performing ROC analysis. Non-parametric, semiparametric and parametric estimators are calculated. Comparisons between curves are based on the area or partial area under...

Journal: :Blood 2015
George B McDonald Laura Tabellini Barry E Storer Richard L Lawler Paul J Martin John A Hansen

We identified plasma biomarkers that presaged outcomes in patients with gastrointestinal graft-versus-host disease (GVHD) by measuring 23 biomarkers in samples collected before initiation of treatment. Six analytes with the greatest accuracy in predicting grade 3-4 GVHD in the first cohort (74 patients) were then tested in a second cohort (76 patients). The same 6 analytes were also tested in s...

Journal: :Journal of rehabilitation medicine 2001
P Rantanen

The objective of this study was to assess the diagnostic value of common questionnaires and measures of physical performance in low back pain (LBP) syndrome. One hundred and fourteen patients with LBP classified according to the Quebec Task Force were compared with 50 patients with different pain syndromes but without apparent LBP. The discriminating value of each variable was estimated by calc...

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