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 -


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