Python

Question: The Pennsylvania Chocolate Institute of Health has identified a new type of disease caused by a diet containing insufficient amount of chocolate. Treatment requires expensive imported chocolates, covered by most insurance plans. There are only two types of patients: A. Healthy chocolate eaters B. Patients suffering from low chocolate levels The insurance company has developed a test (machine learning model) which predicts p, the probability that the current patient is of type A. The company is experimenting with a cost model: The cost of treating a patient of type A is The cost of treating a patient of type B is some number treatB The cost of not treating a patient of type A is some number notTreatA The cost of not treating a patient of type B is some number notTreatB

Template

def q1(p,treatB, notTreatA, notTreatB):

Fill in the function q1(p, treatB, notTreatA, notTreatB), where p is the predicted probability the patient is of type A. The output of this function should be the value of for which the insurance company is indifferent between treating and not treating the patient.