In a spam email detection system, there were $120$ instances where the model correctly identified

emails as spam, $30$ instances where the model incorrectly classified non$-$spam emails as spam, and $15$

instances where the model failed to identify spam emails. $[2$ marks$]$

$1.$ Calculate the values of precision and recall.

$2.$ Provide the interpretation of precision and recall in the context of this spam e$-$mail detection

model.