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Related Questions
- What are the common techniques used to address label imbalance in intent-based classifications?
- How can oversampling and undersampling be used to handle label imbalance in intent-based classifications?
- What is the difference between random oversampling and synthetic oversampling in intent-based classifications?
- Can you explain the concept of SMOTE (Synthetic Minority Over-sampling Technique) and its application in intent-based classifications?
- What are the pros and cons of using data augmentation to address label imbalance in intent-based classifications?
- Can you describe the process of using cost-sensitive learning to handle label imbalance in intent-based classifications?
- How can thresholding be used to adjust the classification threshold to address label imbalance in intent-based classifications?
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