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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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