April 2018
Beginner to intermediate
282 pages
6h 52m
English
Likewise, in the ML world, an ensemble model is a team of models operating together to enhance the result of their work. Technically, ensemble models comprise of several supervised learning models that are individually trained, and the results are merged in various ways to achieve the final prediction. This result has higher predictive power than the results of any of its constituting learning algorithms independently.
Mostly, there are three kinds of ensemble learning methods that are used: