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Business Scenаriо:Yоu аre а data scientist at a healthcare startup develоping an AI system to identify patients who may require urgent follow-up based on clinical test results. Two classification models have been trained and evaluated on a dataset of 1,000 patients, of whom 100 actually required urgent care. Which of these two models should be preferred and why? Below are the confusion matrices for both models (note: in your answer, you are not required to calculate actual evaluation metrics - i.e., accuracy, recall, precision, or f1-score) Model A: Predicted Urgent Predicted Not Urgent Actual Urgent 60 90 Actual Not Urgent 110 840 Model B: Predicted Urgent Predicted Not Urgent Actual Urgent 60 110 Actual Not Urgent 90 840