What are some examples where False positive is preferred over false negative?

HI team,

Please help me out with some examples where a false positive is important than a false negative
how do we improve the accuracy with this situation


Suppose after positive diagnosis for a disease means you will end up doing a kidney transplant. In this case you can not afford false positive predictions.

Suppose a positive prediction means investing lot of money, here also you will like to minimize false positive prediction.

I hope this helps.

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