Question $2-$ Classifier Performance $[11$ pts$]$

$\backslash$table$[[$Patients$,$Does the patient have covid?,Your covid test's output$],[$Patient $1,$Has Covid,Positive$],[$Patient $2,$Does not have covid,Negative$],[$Patient $3,$Has Covid,Positive$],[$Patient $4,$Does not have covid,Positive$],[$Patient $5,$Has Covid,Positive$],[$Patient $6,$Does not have covid,Negative$],[$Patient $7,$Has Covid,Negative$],[$Patient $8,$Does not have covid,Positive$],[$Patient $9,$Has Covid,Positive$],[$Patient $10,$Does not have covid,Positive$]]$

Imagine you developed a classifier model designed to predict whether a patient has COVID$-19.$ Provided below is a table containing data from $10$ tests. Your task is to construct a confusion matrix using this data and subsequently compute the accuracy, recall, precision, and F$1$ score of the classifier model.