The dataset below represents instances for binary classification problem with label as Loan Grant Status and features: Credit Score status, Loan History Status. $[1+3+2=6$ Marks$]$

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

a$)$ Compute the entropy of the training examples with respect to the training label $$Loan Grant Status$.$