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Related Questions
- What are the different methods for oversampling the majority class in active learning to address class imbalance?
- How does the choice of sampling strategy impact the performance of the active learning model?
- What is the effect of under-sampling the majority class on the overall accuracy of the model?
- Can you explain the concept of data augmentation and how it can be used to address class imbalance in active learning?
- What are some strategies for using active learning to select the most informative samples from the minority class?
- How does the size of the training dataset impact the effectiveness of active learning in addressing class imbalance?
- Can you compare and contrast the performance of different active learning algorithms for addressing class imbalance, such as random sampling, uncertainty sampling, and expected model change?
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