Question 2 [40 marks] You are given a training dataset D shown in the table below for a binary classification problem, where the attributes MP= Magazine Promotion, WP = Watch Promotion, CCI= Credit Card Insurance, and Gender. The class-labeled training dataset D for credit card customers The class label attribute LIP (Life Insurance Promotion) of a cardholder has two different values \{Yes, No\}. Given the test instance X=(MP=Yes, WP =Yes,CCI=No, Gender = Female). What the class label will a naive Bayesian classifier predict for the given test instance X ? Note: Students are NOT asked to apply Laplacian correction