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Related Questions
- How does uncertainty-based sampling address class imbalance in machine learning?
- Can you explain the concept of calibration in the context of class imbalance and uncertainty-based sampling?
- In what scenarios might uncertainty-based sampling lead to over-sampling of the majority class and under-sampling of the minority class?
- What are some common techniques used to mitigate class imbalance in machine learning, and how do they compare to uncertainty-based sampling?
- How does the choice of uncertainty estimation method impact the effectiveness of uncertainty-based sampling for class imbalance?
- Can you discuss the relationship between uncertainty-based sampling and other class imbalance techniques, such as SMOTE?
- What are some potential drawbacks or limitations of using uncertainty-based sampling for class imbalance, and how can they be addressed?
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