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 ...
Jing Li
doaj +5 more sources
Induction Motor Fault Classification Based on ROC Curve and t-SNE
IEEE Access, 2021 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
doaj +2 more sources
Emergency Medicine Journal, 2017 The paper by Body et al is concerned with the evaluation of decision aids, which can be used to identify potential acute coronary syndromes (ACS) in the ED.
Candlish, J., Hoo, Z.H., Teare, M.D.
core +2 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.
Dongliang Wang, Xueya Cai
doaj +2 more sources
Time-dependent ROC curve analysis in medical research: current methods and applications
BMC Medical Research Methodology, 2017 Background ROC (receiver operating characteristic) curve analysis is well established for assessing how well a marker is capable of discriminating between individuals who experience disease onset and individuals who do not.
Adina Najwa Kamarudin +2 more
doaj +2 more sources
The receiver operating characteristic (ROC) curve
Southwest Respiratory and Critical Care Chronicles, 2017 Corresponding author: Shengping Yang Contact Information: Shengping.yang@ttuhsc.edu DOI: 10.12746/swrccc.v5i19.391 Results from routine blood tests can be used potentially as biomarkers for identifying disease.
Shengping Yang, Gilbert Berdine
doaj +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
Mahmut Sami Erdoğan
doaj +2 more sources
A Novel Information Complexity Approach to Score Receiver Operating Characteristic (ROC) Curve Modeling [PDF]
EntropyPerformance metrics are measures of success or performance that can be used to evaluate how well a model makes accurate predictions or classifications.
Aylin Gocoglu +2 more
doaj +2 more sources
Sex prediction from human tooth dimension by ROC curve analysis: a preliminary study [PDF]
Scientific ReportsThough 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 ...
Panjit Chunhabundit +2 more
doaj +2 more sources
A relationship between the incremental values of area under the ROC curve and of area under the precision-recall curve [PDF]
Diagnostic and Prognostic Research, 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
Qian M. Zhou +4 more
doaj +2 more sources