You are building a KNN classifier for cancer screening where missing a cancer case (False Negative) could be fatal. Which evaluation metric should you prioritise?

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Precision — because we want to be sure every positive prediction is correct

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Accuracy — because it gives an overall picture of model performance

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Recall — because we must catch as many actual cancer cases as possible

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Specificity — because we want to correctly identify healthy patients

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You are building a KNN classifier for cancer screening where missing a cancer ca...

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