A data scientist is evaluating different binary classification models. The models should be evaluated based on the following criteria: After creating each binary classification model, the data scientist generates the corresponding confusion matrix. Which confusion matrix represents the model that satisfies the requirements?

(i). Must have a precision rate of at least 98% (ii). Must have a recall rate of at least 82% (iii). Must have a specificity rate of at least 98%.

You must show your calculations with your answer. A. TN = 89; FP = 11; FN = 21; TP = 79 B. TN = 95; FP = 5; FN = 22; TP = 78 C. TN = 94; FP = 6; FN = 15; TP = 85 D. TN = 99; FP = 1; FN = 17; TP = 83 E. None of the listed options.