If a Person Is Predicted to Be a Smoker, We

Multiple Choice

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.