Briefly discuss the various Ensemble methods.
Ensemble methods in machine learning combine the predictions of multiple models to improve the overall performance and accuracy compared to individual models. These methods work on the principle that a group of models is better at making predictions than a single one. The main ensemble techniques include:
1. Bagging (Bootstrap Aggregating): Bagging involves training ________ ____ ___ ______ ________ ______.
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Briefly discuss the various Ensemble methods.