Could you differentiate between false positive and false negative in the context of statistical hypothesis testing? And could you please explain their implications?
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Interview question asked to Machine Learning Engineers interviewing at Criteo, HubSpot, Samsung and others: Could you differentiate between false positive and false negative in the context of statistical hypothesis testing? And could you please explain their implications?.