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Related Questions
- How do different cost functions impact the trade-off between precision and recall in a cost-sensitive approach?
- What are some common techniques used to optimize precision and recall in cost-sensitive classification?
- Can you explain the concept of class imbalance and how it affects precision and recall in cost-sensitive models?
- How does the choice of evaluation metric (e.g. F1-score, accuracy) influence the trade-off between precision and recall?
- What are some strategies for handling class imbalance in cost-sensitive classification?
- How does the cost of false positives and false negatives impact the trade-off between precision and recall?
- Can you discuss the relationship between precision and recall in the context of cost-sensitive active learning?
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