Mutual Information as a Performance Measure for Binary Predictors Characterized by Both ROC Curve and PROC Curve Analysis [PDF]
Entropy, 2020 The predictive receiver operating characteristic (PROC) curve differs from the more well-known receiver operating characteristic (ROC) curve in that it provides a basis for the evaluation of binary diagnostic tests using metrics defined conditionally on ...
Jennifer Kopetzky, Neil Mcroberts
exaly +4 more sources
Smooth ROC curve estimation via Bernstein polynomials. [PDF]
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.
Wang D, Cai X.
europepmc +2 more sources
On nonparametric estimating ROC curve based on non-uniform rational B-spline. [PDF]
PLoS OneThe receiver operating characteristic (ROC) curve is a commonly used statistical method to assess the efficacy of a diagnostic test or biomarker measured on a continuous scale. This work presents a versatile approach using a non-uniform rational B-spline
Erdoğan MS.
europepmc +2 more sources
A Novel Information Complexity Approach to Score Receiver Operating Characteristic (ROC) Curve Modeling. [PDF]
Entropy (Basel)Performance metrics are measures of success or performance that can be used to evaluate how well a model makes accurate predictions or classifications.
Gocoglu A, Demirel N, Bozdogan H.
europepmc +2 more sources
Revstat Statistical Journal, 2014 REVSTAT-Statistical Journal, Vol. 12 No.
Luzia Gonçalves +3 more
openaire +3 more sources
Area under the ROC Curve has the most consistent evaluation for binary classification. [PDF]
PLoS OneThe proper use of model evaluation metrics is important for model evaluation and model selection in binary classification tasks. This study investigates how consistent different metrics are at evaluating models across data of different prevalence while ...
Li J.
europepmc +3 more sources
A simplified method to approximate a ROC curve with a Bézier curve to calculate likelihood ratios of quantitative test results. [PDF]
MethodsX, 2020 In order to calculate likeli hood ratios (LR) values for quantitative test results, a distribution-independent algorithm based on Bézier curves is proposed.
Fierz W.
europepmc +2 more sources
Sex prediction from human tooth dimension by ROC curve analysis: a preliminary study. [PDF]
Sci RepThough mathematical approaches are effective in developing reliable odontometric equations with high predictive accuracy for sex estimation in forensic odontology, these methods are often complex to apply, making them impractical in certain scenarios ...
Chunhabundit P +2 more
europepmc +2 more sources
A relationship between the incremental values of area under the ROC curve and of area under the precision-recall curve. [PDF]
Diagn Progn Res, 2021 Background Incremental value (IncV) evaluates the performance change between an existing risk model and a new model. Different IncV metrics do not always agree with each other. For example, compared with a prescribed-dose model, an ovarian-dose model for
Zhou QM +4 more
europepmc +2 more sources
Accuracy Assessment of Pistachio Climate Suitability Map Based on ROC Curve [PDF]
محیط زیست و مهندسی آب, 2023 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