If a person is predicted to be a smoker, we would expect that
A) the person has a good chance of actually being a smoker, because the model has an adequate overall predictive accuracy.
B) the person has a good chance of actually being a smoker, because the model has high specificity.
C) the person may or may not be a smoker, because the model has low sensitivity.
D) the person may or may not be a smoker, because the false positive rate is high.

Question

Quizplus · Accepted Answer

(The model has a false negative rate of 52% and inadequate sensitivity. In fact, among the 27 people who were predicted to be smokers, only 12 of them are actually smokers.)

If a Person Is Predicted to Be a Smoker, We