Refer to Exhibit.
Refer to the exhibit.
To predict whether or not a customer will renew their annual property insurance policy, an insurance company built and operationalized a nave Bayes classification model. In the model, there are two class labels, renewal and non-renewal, that are assigned to each customer based on their attributes.
A subset of the key attributes, their values, and corresponding conditional probabilities are provided in the exhibit.
A customer has the following attributes:
Age is greater than 65 years
Owns their own home
Renewal month is August
If 20% of customers do not renew the police every year, what is the score for a renewal in the nave Bayesian model for the customer described above?
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