PLEASE solve

The dataset below represents instances for binary classification problem with label as Loan Grant Status and features: Credit Score status, Loan History Status. 1+4+2+1=8 Marks a) Compute the entropy of the training examples with respect to the training label 'Loan Grant Status'. b) Compute the Information Gains with respect to the features 'Loan History Status' and 'Credit Score Status'. c) There are two decision tree models T1,T2 with their depths in the ratio 1:2 respectively. "T1 has low generalization error". Is this statement correct? Justify your answer. d) How many distinct decision trees can be generated with 3 Boolean attributes