_______ is a technique in ensemble methods where models are trained on different subsets of the data.
- Cross-validation
- Feature engineering
- Data augmentation
- Bagging
Bagging is a technique used in ensemble methods, such as Random Forest, where multiple models are trained on different subsets of the data. The results are then combined to improve the overall model's performance and reduce overfitting.
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