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Related Questions
- How does random forest handle overfitting in the presence of class imbalance?
- Can you explain the concept of class imbalance and its effects on machine learning models?
- What are some strategies to address class imbalance in random forest and other ensemble methods?
- How does the sampling method (e.g. oversampling minority class, undersampling majority class) affect the performance of random forest?
- Can you discuss the impact of class imbalance on model evaluation metrics such as accuracy, precision, and recall?
- How does random forest handle class imbalance when dealing with high-dimensional feature spaces?
- What are some techniques to improve the performance of random forest on imbalanced data, such as SMOTE or ADASYN?
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