A classifier has a high precision and a low recall What does this imply about its performance?

a$.$ The classifier is performing well in correctly identilying all positive instances

b$.$ The classifier is missing a significant number of positive instances

c$.$ The classifier is good at avoiding false positive errors

d$.$ The classifier is well$-$balanced in terms of precision and recall