This question is related to data mining course. Using Nave Bayes formula

Problem-1: Theory 40 points] Consider the training examples shown in the following table for a binary classification. The table shows a training set for a problem of predicting whether a loan applicant will repay his/her loan obligation or defaulting on his/her loar. Marital Owner Status Single Married Single Married Divorced Married Divorced Single Married Single Annual Income 125K 100K 70K 120K 95K 60K 220K 85K 75K 90K Defaulted Borrower No 0 No No Yes No No Yes Tid Home Yes No No Yes No No Yes 0 No No 2 4 6 0 9 10 Yes Using the Nave Bayes formula that we discussed in the class, compute probability and predict the class label for this test example, X-Home Owner = No, Marital Status Married, Income -$120K) Write your answer here and submit this file