How do you handle imbalanced datasets when performing predictive modeling?
Medium difficulty
Medium questions delve deeper, challenging you to apply your knowledge to common scenarios. They test your ability to think on your feet and adapt your basic skills to real-world contexts.
Technical question
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Here's a hint
When answering, mention techniques like resampling (oversampling/undersampling), using different evaluation metrics (like AUC-ROC, precision-recall), and algorithms that are robust to imbalances. Giving an example from your own experience can...
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