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What approaches do you take to address skewed data in model evaluation, and which metrics do you find most useful?

Did you come across this question in an interview?

Interview question asked to Machine Learning Engineers and Data Scientists interviewing at Sprinklr, Epic Games, Noon and others: What approaches do you take to address skewed data in model evaluation, and which metrics do you find most useful?.