ESTIMATING THE ROC CURVE AND ITS SIGNIFICANCE FOR CLASSIFICATION MODELS’ ASSESSMENT
Quantitative Methods in Economics, 2014 Article presents a ROC (receiver operating characteristic) curve and its application for classification models’ assessment. ROC curve, along with area under the receiver operating characteristic (AUC) is frequently used as a measure for the diagnostics ...
Ryszard Szupiluk +2 more
doaj
Which Curve Fits Best: Fitting ROC Curve Models to Empirical Credit-Scoring Data
Risks, 2022 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
Receiver operating characteristic (ROC) curve of the MaxEnt niche model.
, 2020 Receiver operating characteristic (ROC) curve of the MaxEnt niche model.
Luyan Tang (8677047) +4 more
core +1 more source
Smooth ROC curve estimation via Bernstein polynomials.
PLoS ONE, 2021 The receiver operating characteristic (ROC) curve is commonly used to evaluate the accuracy of a diagnostic test for classifying observations into two groups.
Dongliang Wang, Xueya Cai
doaj +1 more source
Assessment of Sonoelastography as Diagnosis Tool of Inflammatory Myopathies [PDF]
Applied Medical Informatics, 2010 Background: Inflammatory myopathies represent a special group of pathology. Establishing the correct diagnosis in the early phase and a better follow-up are the main objective for improving the life quality of these patients.
Carolina BOTAR-JID +6 more
doaj
Receiver-operating-characteristic curve analysis for the Normal versus FFKC eyes.
, 2020 Receiver-operating-characteristic curve analysis for the Normal versus FFKC eyes.
Shigeru Kinoshita (93123) +9 more
core +1 more source
Image saliency detection based on geodesic‐like and boundary contrast maps
ETRI Journal, 2019 Image saliency detection is the basis of perceptual image processing, which is significant to subsequent image processing methods. Most saliency detection methods can detect only a single object with a high‐contrast background, but they have no effect on
Yingchun Guo, Yi Liu, Runxin Ma
doaj +1 more source
Robust volcano plot: identification of differential metabolites in the presence of outliers
BMC Bioinformatics, 2018 Background The identification of differential metabolites in metabolomics is still a big challenge and plays a prominent role in metabolomics data analyses.
Nishith Kumar +2 more
doaj +1 more source
Estimating the Area under a Receiver Operating Characteristic Curve For Repeated Measures Design [PDF]
The receiver operating characteristic (ROC) curve is widely used for diagnosing as well as for judging the discrimination ability of different statistical models.
Honghu Liu, Tongtong Wu
core
Receiver operating characteristic (ROC) curve analyses.
, 2016 The ROC plots for CEA (A), CA153 (B), CA125 (C) and the combination of CEA and CA153 (D) were used to differentiate breast cancer from benign disease. AUC, area under the receiver operating characteristic curve; CI, confidence interval.
Yu Mei (847605) +4 more
core +1 more source