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 find highly correlated attributes:
- Remove the features that are not coded in numeric characters:
> new_train = trainset[,! names(churnTrain) %in% c("churn", "international_plan", "voice_mail_plan")]
- Then, you can obtain the correlation of each attribute:
>cor_mat = cor(new_train)
- Next, we use findCorrelation to search for highly correlated attributes with a cut off equal to 0.75:
> highlyCorrelated = findCorrelation(cor_mat, cutoff=0.75)
- We then obtain the name of highly correlated attributes:
> names(new_train)[highlyCorrelated]
Output
[1] "total_intl_minutes" "total_day_charge" "total_eve_minutes" "total_night_minutes"
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