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Related Questions
- What are the common metrics used to evaluate the performance of a machine learning model on imbalanced datasets?
- How does class imbalance affect the precision and recall of a model?
- What are some techniques used to handle class imbalance and improve model performance?
- Can you explain the concept of precision and recall in the context of imbalanced datasets?
- How does the choice of evaluation metric impact the selection of hyperparameters for imbalanced datasets?
- What are the consequences of ignoring class imbalance in a machine learning model?
- Can you describe a scenario where precision and recall are not sufficient to evaluate a model's performance on an imbalanced dataset?
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