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Machine Learning with R Quick Start Guide

You're reading from   Machine Learning with R Quick Start Guide A beginner's guide to implementing machine learning techniques from scratch using R 3.5

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781838644338
Length 250 pages
Edition 1st Edition
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Author (1):
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Iván Pastor Sanz Iván Pastor Sanz
Author Profile Icon Iván Pastor Sanz
Iván Pastor Sanz
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Summary

In this chapter, we used different models and algorithms to try and optimize our model. All of the algorithms obtained good results. This would not have been the case in other problems. You can try using different algorithms in your problems and test the best combinations of parameters to solve your specific problem. A combination of different algorithms or ensembles might be a good option as well.

In the next chapter, we will continue by looking at other real problems—specifically, data visualization of economic imbalances in European countries.

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