BASICS OF RECEIVER OPERATING CHARACTERISTIC CURVES
Sensitivity, Specificity, ROC, AUC
The performance of a diagnostic test in the case of a binary predictor can be evaluated using the measures of sensitivity and specinfinity. However, in many instances, we encounter predictors that are measured on a continuous or ordinal scale. In such cases, it is desirable to assess performance of a diagnostic test over the range of possible cut points for the predictor variable. This is achieved by a receiver operating characteristic (ROC) curve that includes all the possible decision thresholds from a diagnostic test result. In this brief report, we discuss the salient features of the ROC curve, as well as discuss and interpret the area under the ROC curve, and its utility in comparing two different tests or predictor variables of interest. Key Words: Sensitivity, Specificity, ROC, AUC.
"BASICS OF RECEIVER OPERATING CHARACTERISTIC CURVES", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 9, page no.991 - 994, September-2023, Available :https://ijsdr.org/papers/IJSDR2309143.pdf
Volume 8
Issue 9,
September-2023
Pages : 991 - 994
Paper Reg. ID: IJSDR_208674
Published Paper Id: IJSDR2309143
Downloads: 000347173
Research Area: Mathematics
Country: Nellore, Andhra Pradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
