Results 21 to 30 of about 416,781 (292)
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
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 ...
openaire +3 more sources
ROC-Analyses—Areas Under the Curve. [PDF]
, 2016 ROC-Analyses—Areas Under the Curve.
E. Neubauer (3149217) +3 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
, 2020 The ROC curve of the miRNA signature for 3-year and 5-year survival probability in the combined cohort. ROC, receiver operating characteristic; miRNA, microRNA.
Taiyuan Li (8442702) +4 more
core +1 more source
ROC-Analyses—Cut-off associated parameters of validity for each screening-tool taken from the ROC-curve coordinate point. [PDF]
, 2016 ROC-Analyses—Cut-off associated parameters of validity for each screening-tool taken from the ROC-curve coordinate point.
E. Neubauer (3149217) +3 more
core +1 more source
Novel Nonparametric Methods For ROC Curves [PDF]
, 2018 The receiver operating characteristic (ROC) curve is a widely used graphical method for evaluating the discriminating power of a diagnostic test or a statistical model in various areas such as epidemiology, industrial quality control and material testing,
An, Yueheng
core +1 more source