Low precision and high recall application - Logical regression

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I'm trying to understand logistic regression and very confused when to use low precision value and high regression value. Can you please explain this with an example?
Jun 13 in Python by Kamal
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1 answer to this question.

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In situations where you wish to reduce the number of false negatives, you use low precision and high recall. Let me explain what false negative with an example. Suppose you have a dataset of people affected by a disease. You wish to find out people who are affected by the disease. Anybody who is affected shouldn't be classified as not affected. This is called a false negative.
answered Jun 13 by Meg

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