Briefly discuss the various Ensemble methods.

Question

23 Jan 2025

Answer :

Word Count : 274

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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