Given a dataset with known class labels $($ground truth$)(f($@$))$ of the objects. The dataset contains binary labels of

positive $(+)$ instances and negative $(-)$ instances. In order to evaluate the quality of a classifier $h,$ each object is

additionally classified using $h.$ The results are given in the table below

What is the accuracy of the classifier $h?$

a$.62\mathrm{.}5\%$

b$.60\%$

c$.$ None

d$.78\mathrm{.}1\%$

e$.75\%$

i need the final coorect answer $?$