ACTU PS5841 Data Science in Finance & Insurance – Spring 2022 (Y. Wang) Assignment – 8
Assigned 3/24/22, Due 4/3/22 (Sun)
Problem 1. NaiveBayes
The date file, data.csv, contains observations on the impact of a number of treatment protocols on patients, where
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Age is the age of the patient
Treatment is the treatment protocol (A, B or C)
Outcome describes the treatment as Ineffective(I), Good(G) or Excellent(E).
For this Q, let¡¯s assume/pretend that Age is normally distributed (so that no transformation is necessary.)
Design and code up a naive Bayes classifier to
[a] predict the probabilities that
treatment A on an 50-year old patient will turn out to be Good, treatment A on an 50-year old patient will turn out to be Excellent treatment B on an 50-year old patient will turn out to be Good, treatment B on an 50-year old patient will turn out to be Excellent treatment C on an 50-year old patient will turn out to be Good, treatment C on an 50-year old patient will turn out to be Excellent
[b] identify the treatment you¡¯d recommend for an 50-year old patient. Briefly justify your recom- mendation.
You may find the following resources useful.
https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB. html
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