Ensemble Methods
Group: 4 #group-4
Relations
- Machine Learning: Ensemble Methods are techniques that combine multiple Machine Learning models to improve predictive performance.
- Decision Trees: Decision Trees can be combined with other models in Ensemble Methods
- Machine Learning: Ensemble Methods are techniques that combine multiple Machine Learning models to improve predictive performance, such as bagging, boosting, and stacking.
- Underfitting: Ensemble methods, like bagging or boosting, can help reduce underfitting by combining multiple models and capturing more complex patterns.