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 calculate the margin of each ensemble learner:
- First, use the margins function to calculate the margins of the boosting classifiers:
> boost.margins = margins(churn.boost, trainset)
> boost.pred.margins = margins(churn.boost.pred, testset)
- You can then use the plot function to plot a marginal cumulative distribution graph of the boosting classifiers:
> plot(sort(boost.margins[[1]]), (1:length(boost.margins[[1]]))/length(boost.margins[[1]]), type="l",xlim=c(-1,1),main="Boosting: Margin cumulative distribution graph", xlab="margin", ylab="% observations", col = "blue")
> lines(sort(boost.pred.margins[[1]]) (1:length(boost.pred.margins[[1]]))/length(boost.pred.margins[[1]]) , type="l", col ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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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.