Your model is showing signs of overfitting. How could bagging or boosting be utilized to address this problem?
- Bagging to average predictions of overfitted models
- Bagging with increased complexity
- Boosting with reduced complexity
- Both bagging and boosting can't address overfitting
Bagging can help address overfitting by averaging predictions from overfitted models trained on different subsets of data. This helps to cancel out the noise and reduce the overall variance of the ensemble.
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