04000CS402052001

b) Consider the collection of training samples (S) in the table given below.
Loan_risk is the target attribute which describes the risk associated with loan for (4.5)
each customer. Find the value of the following.

1) Gain(S, Sex) 11) Gain (S,Credit_rating)

Credit rating | Loan risk

Age Loan risk
Senior Normal Risky
Senior Normal

Senior

Middle Age

F Normal Normal 5
1013 Normal

Suppose we have data on few individuals randomly surveyed. The data gives the

responses towards interests to promotional offers made in the areas of Finanace, (9)
Travel, Reading, and Health. Sex is the output attribute to be predicted. Apply
Naive Bayesian classification algorithm to classify the new instance

(Finance = No,Travel = Yes, Reading = Yes, Health = No).

Reading

Yes 5
Yes

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