Briefly discuss the various Ensemble methods.

Question

19 Mar 2025

Answer :

Word Count : 298

Ensemble methods in Artificial Intelligence (AI) and Machine Learning (ML) are techniques that combine multiple models to improve predictive performance. These methods leverage the diversity of individual models to reduce bias, variance, and overfitting. Several ensemble methods are widely used in AI and ML:

1. Bagging (Bootstrap Aggregating)
Bagging involves training multiple models on different subsets of data generated using bootstrapping (random sampling with replacement). The final prediction is made by averaging (for _________ ______ _______ __________ _______ _________ _______ _______ ______ _____ _______.
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