Results 11 to 20 of about 416,781 (292)
Beyond the ROC Curve: The IMCP Curve [PDF]
The ROC curve [...]
Jesus S. Aguilar-Ruiz
doaj +2 more sources
ROC-curve of the conditional logistic model showing an excellent [19] prediction of cardiovascular related death (AUC = 0.846). The scale is described by Mandrekar [19] as follows: 0 indicates a perfectly inaccurate test, an AUC of 0.5 suggests no ...
Ursula Schmidt-Erfurth (351484) +5 more
core +7 more sources
Accuracy Assessment of Pistachio Climate Suitability Map Based on ROC Curve [PDF]
The aim of this study was to evaluate the accuracy of the climate suitability map of pistachio planting in the northwestern provinces of the country.
Jamshid Yarahmadi +2 more
doaj +1 more source
Concentration and ROC Curves, Revisited [PDF]
AbstractThis work is aimed at illustrating the strict relationship between a general definition of concentration function appeared quite some time ago on this journal and a widely used measure of the diagnostic strength of a family of binary classifiers indexed by a threshold parameter, the so-called ROC curve.
Gasparini M., Sacchetto L.
openaire +3 more sources
ROC-AUC curve, false positive rate-threshold curve and precision-recall curve for ten ESM RF models. [PDF]
a) ROC-AUC curve. b) False positive rate-threahold curve. c) Precision-recall curve.
Li Xie (108913), Lei Xie (61344)
core +1 more source
Which Curve Fits Best: Fitting ROC Curve Models to Empirical Credit-Scoring Data
In the practice of credit-risk management, the models for receiver operating characteristic (ROC) curves are helpful in describing the shape of an ROC curve, estimating the discriminatory power of a scorecard, and generating ROC curves without underlying
Błażej Kochański
doaj +1 more source
Background: This investigation included both a study of potential non-invasive diagnostic approaches for the bladder cancer biomarker UBC® Rapid Test and a study including comparative methods about sensitivity–specificity characteristic (SS-ROC) and ...
Peter Oehr, Thorsten Ecke
doaj +1 more source
Induction Motor Fault Classification Based on ROC Curve and t-SNE
This paper proposes a novel fault classification method with application to induction motors, which is based on integrating and combining with receiver operating characteristic (ROC) curve and t-distribution stochastic neighbor embedding (t-SNE ...
Chun-Yao Lee, Wen-Cheng Lin
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Validation of the highly sensitive person scale for suicide screening in high-risk groups: A case-control study [PDF]
Purpose High sensitivity is among the risk factors that increase psychological burden, increasing the risk of suicide in some people. The aim of the study was to develop a Korean version of the Highly Sensitive Person (HSP) scale and investigate its ...
Yaehee Cho +5 more
doaj +1 more source
Lognormal Lorenz and normal receiver operating characteristic curves as mirror images [PDF]
The Lorenz curve for assessing economic inequality depicts the relation between two cumulative distribution functions (CDFs), one for the distribution of incomes or wealth and the other for their first-moment distribution.
R. John Irwin, Michael J. Hautus
doaj +1 more source

