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Practical Predictive Analytics
book

Practical Predictive Analytics

by Ralph Winters
June 2017
Beginner to intermediate content levelBeginner to intermediate
576 pages
15h 22m
English
Packt Publishing
Content preview from Practical Predictive Analytics

The ctree algorithm

The ctree function gives some advantages over rpart in that the results produced can be a bit more intuitive. Rather than optimizing a result node based purely upon the purity of the resultant node, ctree uses statistical hypothesis testing to determine if the results of the split are statistically significant. It uses chi-square test statistics to test the association, only keeping the associations that are significant, and thus removing bias due to a large number of categories. So, while accuracy may suffer in some cases, benefit is gained by having the results be more explanatory:

install.packages("partykit") 
library(partykit) 
y2 <- ctree(Life.Exp ~ .,data=x) 
y2 
plot(y2) 
 

As you can see from the following plot, ctree ...

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Publisher Resources

ISBN: 9781785886188Supplemental Content