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Journal of Clinical Epidemiology, ISSN 0895-4356, 2015, Volume 68, Issue 8, pp. 855 - 859
Journal Article
Pattern Recognition, ISSN 0031-3203, 12/2013, Volume 46, Issue 12, pp. 3395 - 3411
Receiver Operating Characteristic (ROC) analysis is one of the most popular tools for the visual assessment and understanding of classifier performance. In... 
Asymmetric loss | ROC Curves | MSE decomposition | Cost-sensitive regression | Error variance | Operating condition | CLASSIFIER PERFORMANCE | COMBINATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PREDICTION | ACCURACY | ENGINEERING, ELECTRICAL & ELECTRONIC | COST | AREA | SYSTEMS | Regression | Dominance | Software | Representations | Regression analysis | Assessments | Variance | Computer programs
Journal Article
BMC Bioinformatics, ISSN 1471-2105, 03/2011, Volume 12, Issue 1, pp. 77 - 77
Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are... 
Computational Biology - methods | Confidence Intervals | Data Interpretation, Statistical | Humans | Biomarkers - analysis | Programming Languages | ROC Curve | Software | Confidence intervals | Usage | Public software | Mathematical statistics | Analysis | Science | Research | Computer programs | Studies | User interface | Biomarkers | Data mining | Bioinformatics | Manuscripts | Programming languages | Methods
Journal Article
Journal Article
CRITICAL CARE, ISSN 1466-609X, 12/2004, Volume 8, Issue 6, pp. 508 - 512
This review introduces some commonly used methods for assessing the performance of a diagnostic test. The sensitivity, specificity and likelihood ratio of a... 
positive likelihood ratio | positive predictive value | negative likelihood ratio | specificity | AUROC | ROC curve | sensitivity | negative predictive value | CRITICAL CARE MEDICINE | Computer Graphics | Area Under Curve | Humans | Sensitivity and Specificity | Probability | ROC Curve | Diagnosis | Models, Statistical | Review
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 01/2017, Volume 85, pp. 35 - 41
This paper shows that when a classifier is evaluated with nonrandom test data, ROC curves differ from the ROC curves that would be obtained with a random... 
Sample-selection bias | ROC curves | Classifier evaluation | MAXIMUM-LIKELIHOOD-ESTIMATION | VARYING CLASS DISTRIBUTIONS | MODELS | PREDICT CLASSIFICATION PERFORMANCE | SAMPLE SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2017, Volume 79, Issue CN2, pp. 1 - 19
Plots of the receiver operating characteristic (ROC) curve are ubiquitous in medical research. Designed to simultaneously display the operating characteristics... 
Graphics | Plots | Interactive | ROC curves | interactive | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | graphics | plots
Journal Article
Radiology, ISSN 0033-8419, 10/2003, Volume 229, Issue 1, pp. 3 - 8
Sensitivity and specificity are the basic measures of accuracy of a diagnostic test; however, they dep