Which of the following option is true about ROC curve?
ROC curve = Recicver. Operator characteristic curve. 1 - No use 2 - fair 3 - Good 4 - Excellent Area under the ROC cure = 1 - if specificity and sensitivity both are 100% ROC curve - it is a method of evaluating the quality / performance of tests.
It is a method of evaluating the quality/performance of tests
It is plotted as test Sensitivity as x-coordinate versus its 1-Specificity (False positive rate FPR) as the y-coordinate
A perfect test has an area under the ROC curve (AUROCC) of >1
A decrease in sensitivity result in decrease in specificity
JIPMER 2019