How would you address the challenge of class imbalance in a dataset when training a machine learning model?

Instruction: Discuss the strategies you would employ to mitigate this issue and ensure model robustness.

Context: This question explores the candidate's knowledge of handling class imbalance, a common issue in machine learning datasets, and ensuring fair model performance.

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I would start by checking whether the imbalance is actually hurting the decision we care about. Class imbalance is a modeling problem only when it leads the system to miss important minority cases or produce thresholds that do not fit the business risk.

If it...

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How would you address the challenge of class imbalance in a dataset when training a machine learning model?

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