Python Program using Decision Theory

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:


Healthy chocolate eaters


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 [login to view URL] company is experimenting with a cost model:

The cost of treating a patient of type A is α

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

You must write a program to help the insurance company explore the cost of making decisions using decision theory. 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

α for which the insurance company is indifferent between treating and not treating the patient.

Kemahiran: Python, Kejuruteraan Perisian, Machine Learning (ML)

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Tentang Majikan:
( 5 ulasan ) State College, United States

ID Projek: #23586463

21 pekerja bebas membida secara purata $44 untuk pekerjaan ini


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