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Related Questions
- What are some common techniques used to address class imbalance in active learning datasets?
- How does class imbalance affect model performance in the context of active learning?
- Can you explain the concept of cost-sensitive learning and how it relates to active learning and class imbalance?
- What are the implications of class imbalance on model interpretability in active learning?
- How do active learning algorithms handle outliers in imbalanced datasets?
- What are some strategies for sampling the minority class in active learning to address class imbalance?
- Can you discuss the relationship between class imbalance and the risk of overfitting in active learning models?
- How does class imbalance affect the choice of loss function in active learning?
- What are some techniques for reweighting the minority class in active learning to improve model performance?
- Can you explain the concept of ensemble methods and how they can be used to address class imbalance in active learning?
- How does class imbalance impact the selection of hyperparameters in active learning models?
- What are some real-world applications where class imbalance is a significant challenge in active learning?
- Can you discuss the trade-offs between precision, recall, and F1-score in the context of class imbalance in active learning?
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