© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
A. Pajankar, A. JoshiHands-on Machine Learning with Pythonhttps://doi.org/10.1007/978-1-4842-7921-2_10

10. Ensemble Learning Methods

Ashwin Pajankar1   and Aditya Joshi2
(1)
Nashik, Maharashtra, India
(2)
Haldwani, Uttarakhand, India
 

In the past three chapters, we have discussed and experimented with several supervised learning methods and learned how to evaluate them and tune their performance. Each class of algorithms has merits and demerits and suits a particular class of problems.

Ensemble learning, as shown in Figure 10-1, is a suite of techniques that uses multiple machine learning models in order to obtain better performance than we could have from any ...

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