Results 1 to 10 of about 302,402 (283)

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

ROC Curve Estimation

Revstat Statistical Journal, 2014
This work overviews some developments on the estimation of the Receiver Operating Characteristic (ROC) curve. Estimation methods in this area are constantly being developed, adjusted and extended, and it is thus impossible to cover all topics and areas ...
Luzia Gonçalves , Ana Subtil , M. Rosário Oliveira , Patricia de Zea Bermudez   +3 more
doaj   +2 more sources

A Novel Information Complexity Approach to Score Receiver Operating Characteristic (ROC) Curve Modeling [PDF]

Entropy
Performance metrics are measures of success or performance that can be used to evaluate how well a model makes accurate predictions or classifications.
Aylin Gocoglu, Neslihan Demirel, Hamparsum Bozdogan   +2 more
doaj   +2 more sources

Area under the ROC Curve has the most consistent evaluation for binary classification [PDF]

PLoS ONE
The 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   +3 more sources

Beyond the ROC Curve: The IMCP Curve

Analytics
The ROC curve [...]
Jesus S. Aguilar-Ruiz
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, Lu Zhe, Russell J. Brooke, Melissa M. Hudson, Yan Yuan   +4 more
doaj   +2 more sources

Sex prediction from human tooth dimension by ROC curve analysis: a preliminary study [PDF]

Scientific Reports
Though 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, Tawepong Arayapisit, Natchalee Srimaneekarn   +2 more
doaj   +2 more sources

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 ...
Gareth Hughes, Jennifer Kopetzky, Neil McRoberts   +2 more
doaj   +2 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.
Walter Fierz
doaj   +2 more sources

Functional Prediction of Hypothetical Proteins from and Validation of the Predicted Models by Using ROC Curve Analysis [PDF]

Genomics & Informatics, 2018
Shigella spp. constitutes some of the key pathogens responsible for the global burden of diarrhoeal disease. With over 164 million reported cases per annum, shigellosis accounts for 1.1 million deaths each year.
Md. Amran Gazi, Sultan Mahmud, Shah Mohammad Fahim, Mohammad Golam Kibria, Parag Palit, Md. Rezaul Islam, Humaira Rashid, Subhasish Das, Mustafa Mahfuz, Tahmeed Ahmeed   +9 more
doaj   +2 more sources