Posted On: May 13, 2024
Ensemble learning is the process of applying multiple learning algorithms on a dataset to get better predictive performance. By applying multiple algorithms the performance is improved while the likelihood of choosing a wrong algorithm is reduced. The ensemble is a supervised type of learning algorithm as it can be trained and used to make predictions.
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