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Related Questions
- What are the common types of heuristics used in machine learning that can lead to class imbalance issues?
- How can oversampling and undersampling heuristics affect the performance of a binary classification model?
- What are the potential consequences of using heuristics like SMOTE (Synthetic Minority Over-sampling TEchnique) on a dataset with a large class imbalance?
- Can you explain how heuristics like cost-sensitive learning can lead to biased results in machine learning models?
- In what ways can heuristics like threshold setting influence the accuracy of a classification model in the presence of class imbalance?
- How do heuristics like feature engineering impact the class imbalance problem in machine learning models?
- Can you discuss the relationship between heuristics and the curse of dimensionality in the context of class imbalance in machine learning?
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