a) The dataset below represents instances for binary classification problem with label as Loan Grant Status and features: Credit Score status, Loan History Status Instance Credit Score Status Loan History Status Loan Grant Status 1 Positive Positive Granted 2 Positive Negative Not Granted 3 Negative Negative Granted 4 Negative Positive Not Granted 5 Positive Positive Granted 6 Negative Positive Not Granted i) Compute the entropy of the training examples with respect to the labels. ii) Compute the Information Gain with respect to the feature 'Loan History Status iii) There are two decision tree models T, T with their depths in the ratio 1:2 respectively. "T1 has low generalization error". Is this statement correct? Justify your answer. [1+1+2=4M) b) Consider an entrance examination result captured from a sample size of 400 students to explore the relationship between the daily hours of study and the success in the exam. Hours 15/day