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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

Ensembling by averaging

Within the context of regression models, the predictions are the numeric values of the variables of interest. Combining the predictions of the output due to the various ensemblers is rather straightforward; because of the ensembling mechanism, we simply interpret the average of the predicted values across the ensemblers as the predicted value. Within the context of the classification problem, we can carry out simple averaging and weighted averaging. In the previous section, the ensemble had homogeneous base learners. However, in this section, we will deal with heterogeneous base learners.

We will now consider a regression problem that is dealt with in detail in Chapter 8, Ensemble Diagnostics. The problem is the prediction ...

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Publisher Resources

ISBN: 9781788624145Supplemental Content