asap and show all work please
Def aulting Dearborn students on their student loads is 1%....
Def aulting Dearborn students on their student loads is 1%. As a project you develop an algorithm to predict which students will default. You false positives, ie, predicting a student will default who in fact will not. It also gives 200 on a load means failing to pay it back on time. The default rate among UM- r algorithm is good but not perfect. It gives 4% ves, i.e., predicting a student won't default who in fact will. Suppose a random selected student tests positive using your algorithm, what is the probability that he will truly default? Round your final answer to 4 decimal places.