You are hired as a data scientist by a company. You are given the following confusion matrix for two classification models and are required to propose the best model to the company.

$($a$)$ Calculate the baseline performance.

$($b$)$ Calculate the following evaluation measures for both models. For each measure, identify the best model.

$($i$)$ Classification accuracy rate.

$($ii$)$ Precision.

$($iii$)$ Specificity.

$($iv$)F_1$ score.

$($c$)$ Using the computed results in Q$4($a$)$ and Q$4($b$),$ justify whether you would propose the model to the company.

$($d$)$ Suggest TWO $(2)$ ways to overcome issues you have observed in Q$4($c$).$