Results 41 to 50 of about 3,583,799 (330)
Is the area under an ROC curve a valid measure of the performance of a screening or diagnostic test?
Journal of Medical Screening, 2014 N. Wald, J. Bestwick
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ROC curves in cost space [PDF]
Machine Learning, 2013 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.
José Hernández-Orallo +2 more
openaire +3 more sources
Reflection on modern methods: Revisiting the area under the ROC Curve.
International Journal of Epidemiology, 2020 The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessing the discriminative ability of prediction models even though the measure is criticized for being clinically irrelevant and lacking an intuitive ...
A. C. J. W. Janssens, F. K. Martens
semanticscholar +1 more source
ROC curves for regression [PDF]
Pattern Recognition, 2013 I would like to thank Peter Flach and Nicolas Lachiche for some very useful comments and corrections on earlier versions of this paper, especially the suggestion of drawing normalised curves (dividing x-axis and y-axis by n). This work was supported by the MEC/MINECO projects CONSOLIDER-INGENIO CSD2007-00022 and TIN 2010-21062-C02-02, GVA project ...
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ROC-AUC curve, false positive rate-threshold curve and precision-recall curve for ten ESM RF models.
, 2023 a) ROC-AUC curve. b) False positive rate-threahold curve. c) Precision-recall curve.
Li Xie (108913), Lei Xie (61344)
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Web-Bootstrap Estimate of Area Under ROC Curve
Austrian Journal of Statistics, 2016 The accuracy of binary discrimination models (discrimination between cases with and without any condition) is usually summarized by classification matrix (also called a confusion, assignment, or prediction matrix). Receiver operating characteristic (ROC)
Hana Skalská, Václav Freylich
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Receiver operating characteristic curve: overview and practical use for clinicians [PDF]
Korean Journal of Anesthesiology, 2022 Using diagnostic testing to determine the presence or absence of a disease is essential in clinical practice. In many cases, test results are obtained as continuous values and require a process of conversion and interpretation and into a dichotomous form
Francis Sahngun Nahm
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The STONE Curve: A ROC‐Derived Model Performance Assessment Tool
Earth and Space Science, 2020 A new model validation and performance assessment tool is introduced, the sliding threshold of observation for numeric evaluation (STONE) curve. It is based on the relative operating characteristic (ROC) curve technique, but instead of sorting all ...
Michael W. Liemohn +3 more
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Receiver Operating Characteristic Curve of Total Serum IgE in Allergic Patients [PDF]
مجلة الموصل للتمريض, 2017 Background and objective: Validity of continuous variable test like total serum IgE is performed by constructing Receiver Operating Characteristic (ROC) curve.
Haitham Bader Fathi
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Diagnosis: shifting the ROC curve [PDF]
British Journal of General Practice, 2012 In 1972 Howie asked whether diagnosis was the Achilles heel of general practice.1 Accurate diagnosis was then, and remains, the fundamental concept of all medical practice. Are we any good at it now? This issue of the BJGP contains several papers on diagnosis and decision-making which shed light on this important area of practice. The results reported
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