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Ensemble Learning

 What is ensemble learning?

    Ensemble learning is process where we combine various or same algorithms apply for multiple times to enhance the accuracy of final merged model. Ensemble learning is the process by which multiple models, such as classifiers are strategically generated and combined to solve a particular computational intelligence problem. Ensemble learning is primarily used to improve the classification, prediction, results by combining several models. 

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