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How do you manage the challenge of skewed data when evaluating the effectiveness of a model, and which metrics do you rely on?
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Interview question asked to Machine Learning Engineers and Data Scientists interviewing at Riot Games, Tinder, GitLab and others: How do you manage the challenge of skewed data when evaluating the effectiveness of a model, and which metrics do you rely on?.