In a binary classification problem using Naive Bayes, how do you decide the class label for a given instance?

Question $10$Answer

a$.$

By choosing the class with the highest posterior probability

b$.$

By calculating the mean of the class probabilities

c$.$

By averaging the feature values

d$.$

By calculating the distance from the decision boundary