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

The precision is

and the recall is

of the classifier $h?$

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

b$.75\%,78\mathrm{.}1$

c$.60\%,62\mathrm{.}5$

d$.$ None

e$.62\mathrm{.}5\%,60\%$

i need the coorect final answer $?$