Consider the training examples shown in the following table for binary classification. The table shows a training set for the problem of predicting whether a loan applicant will repay his/her loan obligation or default on his/her loan. 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. No R/Python, please. Work on the solution by hand