Multiclassifiers; Ensembles and Hybrids; Bagging, Boosting, and Stacking
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- Multiclassifiers - a set of hundreds or thousands of learners with a common objective are fused together to solve the problem. Ensemble and Hybrid methods are a subclasses of multiclassifiers.
- Ensemble methods - train multiple models using the same learning algorithm
- Bagging -
- Boosting -
- Hybrid Methods -
- Stacking -