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Related Questions
- Can class weights be used to compensate for class imbalance in supervised learning?
- How do class weights influence the F1-score in datasets with a large variance in class sizes?
- In what situations are class weights more beneficial to F1-score improvement, and under what conditions would it degrade?
- Are class weights suitable for addressing both class imbalance and high variance in target predictions?
- How is class weighting different from random oversampling or undersampling methods?
- Is it beneficial to assign unique weights for each class label individually?
- Do regularisation and early stopping play complementary roles when using class weighting in models?
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