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Related Questions
- What are the common techniques used in class imbalance correction to improve the fairness of credit risk assessment models?
- How can oversampling the minority class or undersampling the majority class help reduce bias towards certain demographics?
- What is the role of cost-sensitive learning in class imbalance correction, and how can it be used to improve the fairness of credit risk assessment models?
- Can you explain how to implement data augmentation techniques to improve the fairness of credit risk assessment models and reduce class imbalance?
- What are the advantages and disadvantages of using SMOTE (Synthetic Minority Over-sampling Technique) to correct class imbalance in credit risk assessment models?
- How can class imbalance correction techniques be used to improve the transparency of credit risk assessment models, and make them more explainable?
- What are the potential consequences of ignoring class imbalance in credit risk assessment models, and how can class imbalance correction techniques mitigate these consequences?
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