This is a a question that require to build a classification model for post office which can identify the hand write when delivering mail. we$$re going to train a classifier to look at images and predict what digits they are. Looking again at the result from Question $4\mathrm{.}1($matrix$),$and let's think about the other two metrics introduced in class for evaluating classifier performance. Do you think it is a good idea to tune$/$build our classifier based on precision and$/$or recall?