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Related Questions
- What are the common causes of label imbalance in intent-based classifications?
- How does label imbalance affect the performance of machine learning models?
- What are some techniques used to address label imbalance in intent-based classifications?
- Can you explain the concept of oversampling and undersampling in the context of label imbalance?
- How does class weighting work in addressing label imbalance?
- What are the advantages and disadvantages of using synthetic data to address label imbalance?
- Can you discuss the role of data augmentation in mitigating label imbalance?
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