Practical Guide to Ensemble Learning

Improve your model with voting, bagging, boosting and stacking

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Ensemble learning is a technique used in machine learning to combine multiple models into a group model, in other words into an ensemble model. The ensemble model aims to perform better than each model alone or if not, to perform at least as well as the best individual model in the group.