In Chapter 2, you learned how to divide and mix training data in different ways to build ensemble models, which perform better than a model that was trained on an undivided dataset.
In this chapter, you learn different ways to assemble. Unlike the mixing training data approach, the mixing models approach uses the same dataset in different machine learning models and then combines the results in different ways to get better performing models.
Introduce and explain mixing models based on ensemble
Introduce voting ensembles ...