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Related Questions
- What are the typical batch sizes used in multiclass classification tasks, and how do they impact the model's performance in handling class imbalance?
- Can a larger batch size exacerbate the issue of class imbalance, and if so, why?
- How does the choice of batch size affect the model's ability to capture minority class samples in a dataset with a significant class imbalance?
- What are some strategies for adjusting the batch size to mitigate the effects of class imbalance in multiclass classification tasks?
- In what scenarios would a smaller batch size be beneficial for handling class imbalance, and why?
- How does the relationship between batch size and class imbalance differ between different types of classification tasks, such as binary and multiclass classification?
- Can the choice of batch size interact with other hyperparameters, such as learning rate and number of epochs, to impact the model's ability to handle class imbalance?
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