Posted On: Apr 01, 2020
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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Supervised and unsupervised are the two types of Machine learning algorithms available. In the supervised type, the algorithms are applied to the known labeled data to formulate a model. Labeled data...