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Related Questions
- How does class weighting affect the F1-score in ensemble methods like random forest or boosting on imbalanced datasets?
- Can you explain the concept of underfitting and overfitting in ensemble methods, particularly in the context of class imbalance?
- What are some common techniques for handling class imbalance in ensemble methods, such as random forest or boosting?
- How does the choice of ensemble method (e.g. random forest, boosting, bagging) impact the F1-score on imbalanced datasets?
- Can you discuss the effect of feature engineering on the F1-score when using ensemble methods on imbalanced datasets?
- What are some strategies for optimizing hyperparameters in ensemble methods to improve the F1-score on imbalanced datasets?
- How does the concept of minority class oversampling and majority class undersampling affect the F1-score in ensemble methods?
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