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Related Questions
- Can pre-training and fine-tuning strategies boost accuracy on underrepresented classes?
- Does class weight adjustment play a crucial role in compensating for imbalanced classes in a dataset?
- Are there specific loss functions suitable for handling imbalanced class distributions?
- In what ways does early exaggeration of the minority class influence the final classification outcome?
- What advantages do ensemble methods provide for handling class imbalanced data?
- Are active learning strategies applicable for dynamically balancing class samples and weights?
- To what extent does dataset pre-processing impact the effect of over-sampling under-represented classes on accuracy and AUC metrics?
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