October 2017
Beginner to intermediate
572 pages
26h 1m
English
book
Machine Learning with R Cookbook - Second Edition
by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
Content preview from Machine Learning with R Cookbook - Second Edition
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How to do it...
Perform the following steps to split the churn dataset into training and testing datasets:
- Load the rpart package:
> library(rpart)
- Use the rpart function to build a classification tree model:
> churn.rp = rpart(churn ~ ., data=trainset)
- Type churn.rp to retrieve the node detail of the classification tree:
> churn.rp
- Next, use the printcp function to examine the complexity parameter:
> printcp(churn.rp) Output Classification tree: rpart(formula = churn ~ ., data = trainset) Variables actually used in tree construction: [1] international_plan number_customer_service_calls [3] total_day_minutes total_eve_minutes [5] total_intl_calls total_intl_minutes [7] voice_mail_plan Root node error: 342/2315 = 0.14773 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.