Bagging Boosting
Techniques which combine the predictions of multiple models to improve overall predictive performance.
Types of Ensemble Methods
- Parallel Learners. Multiple Models are trained independently of each other.
- Sequential Learners. Models are trained in sequence (one after another). Each model is trained to correct the errors made by the previous model.