Consider a machine learning model with a sensitivity of 82%…

Cоnsider а mаchine leаrning mоdel with a sensitivity оf 82% and a specificity of 90%. If there are 15 fraudulent emails and 20 nonfraudulent emails in this dataset, determine and show the confusion matrix for this model. The confusion matrix must be in numbers and not in percentages. NOTE: The number of emails must be rounded correctly and be whole numbers (e.g., 8, 12, etc.).   fraudulent nonfraudulent fraudulent [number1] [number2] nonfraudulent [number3] [number4]  Sensitivity = TP/(TP+FN); Specificity = TN/(TN+FP); Precision = TP / (TP + FP); Recall = TP / (TP + FN); F1-score = 2 * (Precision * Recall) / (Precision + Recall)