Consider a two$-$class classification problem of predicting whether a photograph contains a man or a woman. Suppose we have a test dataset of $10$ records with expected outcomes and a set of predictions from our classification algorithm. Compute the confusion matrix, accuracy, precision, recall, sensitivity and specificity on the following data.

$\backslash$table$[[$SI$.$No$.,$Actual,Predicted$],[1,$man,woman$],[2,$man,man$],[3,$woman,woman$],[4,$man $\frac{?}{?},$man$],[5,$man,woman$],[6,$woman,woman$],[7,$woman,man$],[8,$man,man$],[9,$man,woman$],[10,$woman,woman$]]$