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Related Questions
- What are the key differences between cost-sensitive learning and traditional supervised learning?
- Can you provide examples of scenarios where cost-sensitive learning is more effective than traditional supervised learning?
- How does cost-sensitive learning handle class imbalance and its impact on the model's performance?
- What are some common techniques used in cost-sensitive learning to handle class imbalance and cost variation?
- How does cost-sensitive learning differ from other machine learning approaches, such as multi-class classification and multi-label classification?
- Can you explain the concept of cost-sensitive learning in the context of imbalanced datasets and how it addresses the issue of skewed class distributions?
- What are some challenges and limitations of cost-sensitive learning, and how can they be addressed in practice?
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