Classification $>$ Evaluation

You are given the following information about three classifiers $($each one is a black box,

you know nothing about the classifiers$)$ and their performance on a particular dataset.

There are two class labels IN $($Positive Class Label$)$ and OUT $($Negative Class Label$).$ Your

goal is to sort the classifiers in order of model performance from highest to lowest in

descending order. Highest will be the one you will pick as the best performing. Please

include all steps for full credit.

a$)$ Compute the accuracy of each classifier and sort $($e$.$g$.$ Classifier $A>B>C).$

b$)$ Compute the precision of each classifier and sort.

c$)$ Compute the recall of each classifier and sort.

d$)$ Compute the F$-$Measure of each classifier and sort.

e$)$ Assuming the following cost matrix, compute the cost of each model and sort.

$TP=>-1$

$FN=>10$

$FP=>5$

$TN=>0$You are given the following information about three classifiers $($each one is a black box, you know nothing about the classifiers$)$ and their performance on a particular dataset. There are two class labels IN $($Positive Class Label$)$ and OUT $($Negative Class Label$).$ Your goal is to sort the classifiers in order of model performance from highest to lowest in descending order. Highest will be the one you will pick as the best performing. Please include all steps for full credit.