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Related Questions
- What are the challenges of using automated methods to generate negative examples for addressing class imbalance?
- How do human-annotated negative examples help improve the performance of machine learning models in imbalanced datasets?
- What are the advantages of using human-annotated negative examples over automated methods in addressing class imbalance?
- Can you explain the concept of class imbalance and why it is a significant problem in machine learning?
- How do human-annotated negative examples contribute to the development of more accurate and robust machine learning models?
- What are some common techniques used to address class imbalance in machine learning, and how do they compare to human-annotated negative examples?
- How can human-annotated negative examples be used in conjunction with other techniques to improve the performance of machine learning models in imbalanced datasets?
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