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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

Bootstrapping regression models

The US Crime dataset introduced in Chapter 1, Introduction to Ensemble Techniques, is an example of why the linear regression model might be a good fit. In this example, we are interested in understanding the crime rate (R) as a function of thirteen related variables such as average age, the southern state indicator, and so on. Mathematically, the linear regression model is as follows:

Bootstrapping regression models

Here, Bootstrapping regression models are the p-covariates, Bootstrapping regression models is ...

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Publisher Resources

ISBN: 9781788624145Supplemental Content