Recall what a confusion matrix is as described below. N: negative sample count P: positive sample count FP. TP P^: predicted positive count FP+TP=PA TN+FNEN Sensitivity = TP/P Specificity = TN/N Precision = TP/P^ False Positive Rate FPR = 1- specificity False Negative Rate FNR= 1 - sensitivity Accuracy=(TP+TN)/(N+P) TN EN N^: predicted negative count FP+TN=N TP+FN=P Assuming FP = 74; TP = 11; TN = 62 FN = 81. Please calculate Specificity to two decimal digit