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Flashcard Practice Artificial Intelligence Engineer - AiE Multiple Choice

A healthcare team deploys a risk classifier. At the default 0.50 threshold, too many high-risk patients are missed, and clinicians state that false negatives are costlier than false positives. What should the team do?

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Choose a threshold from validation data using the clinical cost tradeoff and precision-recall behavior. Optimize only training accuracy because threshold choice is unrelated to model evaluation. Change positive labels to negative labels until the false-negative count becomes smaller. Keep the 0.50 threshold because probabilities above and below it are symmetric for every clinical cost.

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