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Ensemble Methods: Increasing the Accuracy

  • Ensemble methods
    • Use a combination of models to increase accuracy
    • Combine a series of k learned models, M1, M2, …, Mk, with the aim of creating an improved model M*
  • Popular ensemble methods
    • Bagging: averaging the prediction over a collection of classifiers
    • Boosting: weighted vote with a collection of classifiers
    • Ensemble: combining a set of heterogeneous classifiers


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