MATLAB code to compute precision and recall

This is a MATLAB code that computes the precision and recall between the true and predicted values of a classification problem.

This is a MATLAB code that computes the precision and recall between the true and predicted values of a classification problem.

The code then defines the true and predicted values as two binary arrays y_true and y_pred.

Next, the code counts the number of true positives (tp), false positives (fp), and false negatives (fn) by comparing the elements of y_true and y_pred.

The code then computes the precision and recall as the ratio of true positives to the sum of true positives and false positives (for precision) and the sum of true positives and false negatives (for recall), respectively.

Finally, the code displays the precision and recall using the disp function.