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Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners by Ekaba Bisong

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© Ekaba Bisong 2019
E. . BisongBuilding Machine Learning and Deep Learning Models on Google Cloud Platformhttps://doi.org/10.1007/978-1-4842-4470-8_23

23. Ensemble Methods

Ekaba Bisong1 
(1)
OTTAWA, ON, Canada
 

Ensemble learning is a technique that combines the output of multiple classifiers also called weak learners to build a more robust prediction model. Ensemble methods work by combining a group of classifiers (or models) to get an enhanced prediction accuracy. The idea behind an “ensemble” is that the performance from the average of a group of classifiers will be better than each classifier on its own. So each classifier is called a “weak” learner.

Ensemble learners are usually high-performing algorithms for both classification and regression tasks ...

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