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Related Questions
- How does precision affect the model's ability to correctly identify minority class instances in an imbalanced dataset?
- What are the consequences of prioritizing precision over other metrics in an imbalanced dataset?
- Can you explain how precision impacts the model's overall performance in terms of the F1-score and ROC-AUC curve?
- How does the choice of precision threshold affect the model's performance in an imbalanced dataset?
- What are some strategies to improve precision in an imbalanced dataset, and what are their trade-offs?
- Can you discuss the relationship between precision and recall in the context of imbalanced datasets?
- How does precision impact the model's ability to generalize to new, unseen data in an imbalanced dataset?
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