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Ensemble Learning: Combining Multiple Learners by sakshijha7632 is a document available to read on EtoBox.
What is Ensemble Learning: Combining Multiple Learners about?
The document discusses ensemble learning, emphasizing the importance of combining multiple learners to improve accuracy and reduce errors, as no single learning algorithm is universally optimal. It outlines various methods for achieving diversity among base learners, including using different algorithms, hyperparameters, and training sets, as well as techniques like bagging and boosting. Additionally, it explains decision trees as a supervised learning method, detailing their structure and advantages.
- Author
- sakshijha7632
- Language
- EN