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# Sensitivitv 0.0 1-specificity Figure 4:

a)     Figure 4 depicts an ROC curve for a classifier for identifying patients receiving poor quality health care (class 1). The numbers in the figure indicate the cut-off value c, used to calculate some of the points on the ROC curve.

Given this ROC curve, which threshold would you pick if you wanted to correctly identify a small group of patients who are receiving the worst care with high confidence? (circle the right answer)

i.               c = 0.2

ii.              c = 0.3

iii.            c = 0.7

iv.             c = 0.8

Which threshold would you pick if you wanted to correctly identify half of the patients receiving poor care, while making as few errors as possible?

i.               c = 0.2

ii.              c = 0.3

iii.            c = 0.7

iv.             c = 0.8

Sensitivitv 0.0 0.2 0.4 0.6 0.8 1.0
1-specificity Figure 4: ROC curve for identifying patients receiving poor quality care

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