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Related Questions
- What are some common human-in-the-loop methods used to address class imbalance in datasets?
- How can active learning strategies be employed to select the most informative samples for human annotation?
- What are the potential drawbacks of using human-in-the-loop methods, such as increased annotation costs and time?
- Can you explain the concept of transfer learning and how it can be used to address class imbalance in datasets?
- How can human-in-the-loop methods be used to select the most relevant features for classification models?
- What are some potential biases that can arise from human-in-the-loop methods, such as selection bias and annotation bias?
- Can you discuss the trade-offs between using human-in-the-loop methods and automated methods for addressing class imbalance in datasets?
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