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A data scientist trains a machine learning model using 8,000 patient records. The model correctly identifies 94% of high-risk cases. Of the 12% of 8,000 that are high-risk, how many cases were correctly flagged?
But typically, round down since partial patients not possible. However, 902.4 is exact — but must be integer.
But in context, expected to compute value: 902.4, but must be whole.
However, rate implies statistical, so report as is? No — practical: 902 or 902.
But problem says how many, so likely expect 902.
Since number of patients must be integer, and 902.4 is not, but in simulation its average. For math problem, accept exact calculation.
But typically in such problems, assume exact math.
But in context, perhaps report exact value or floor.
However, standard is to compute as is.
But to avoid, assume the answer is 902.4 — but not acceptable.