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Hands-On Ensemble Learning with R
book

Hands-On Ensemble Learning with R

by Prabhanjan Narayanachar Tattar
July 2018
Beginner to intermediate content levelBeginner to intermediate
376 pages
9h 1m
English
Packt Publishing
Content preview from Hands-On Ensemble Learning with R

Chapter 12. What's Next?

Throughout this book, we have learned about ensemble learning and explored its applications in many scenarios. In the introductory chapter, we looked at different examples, datasets, and models, and found that there is no single model or technique that performs better than the others. This means that our guard should always be up when dealing with this matter, and hence the analyst has to proceed with extreme caution. The approach of selecting the best model from among the various models means that we reject all of the models whose performance is slightly less than that of the others, and hence a lot of resources are wasted in pursuit of the best model.

In Chapter 7, The General Ensemble Technique, we saw that if we have ...

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Publisher Resources

ISBN: 9781788624145Supplemental Content