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Related Questions
- How does over-sampling the majority class affect the performance of a classification model in comparison to over-sampling the minority class?
- Can under-sampling the majority class improve the accuracy of a classification model when the minority class is significantly large?
- What are the potential drawbacks of using SMOTE (Synthetic Minority Over-sampling Technique) for over-sampling the minority class?
- Can data augmentation techniques be used to oversample the minority class in a classification problem?
- How does the choice of sampling method (over-sampling vs. under-sampling) impact the performance of a classification model in terms of accuracy and recall?
- What are the effects of oversampling the minority class on the model's precision and F1-score?
- Can oversampling the minority class lead to overfitting in a classification model, and if so, how can it be mitigated?
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