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Related Questions
- What is the impact of precision on the overall performance of a model in an imbalanced dataset?
- How does the choice of evaluation metric affect the trade-off between precision and recall in an imbalanced dataset?
- What are some strategies for addressing the trade-off between precision and recall in an imbalanced dataset?
- Can you explain the concept of class imbalance and its effects on model performance?
- How does the ratio of positive to negative instances in an imbalanced dataset influence the trade-off between precision and recall?
- What are some techniques for resampling or oversampling the minority class to improve model performance in an imbalanced dataset?
- Can you discuss the pros and cons of using different evaluation metrics, such as F1-score, accuracy, and AUC-ROC, when dealing with imbalanced datasets?
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