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Related Questions
- What is the primary goal of uncertainty sampling in active learning?
- How does uncertainty sampling select the most informative data points for the model to learn from?
- What are the benefits of using uncertainty sampling in active learning compared to random sampling?
- Can you provide an example of how uncertainty sampling can be used in a real-world scenario?
- How does uncertainty sampling handle class imbalance in the training data?
- What are the common metrics used to evaluate the performance of uncertainty sampling in active learning?
- Can you explain the difference between epistemic uncertainty and aleatoric uncertainty in the context of uncertainty sampling?
- How does uncertainty sampling adapt to changing data distributions or concept drift in the training data?
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