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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In some classification packages, such as rpart, the object generated from the training model contains the variable importance. We can examine the variable importance by accessing the output object:
> library(rpart) > model.rp = rpart(churn~., data=trainset) > model.rp$variable.importance Output total_day_minutes total_day_charge 111.645286 110.881583 number_customer_service_calls total_intl_minutes 58.486651 48.283228 total_intl_charge total_eve_charge 47.698379 47.166646 total_eve_minutes international_plan 47.166646 42.194508 total_intl_calls number_vmail_messages 36.730344 19.884863 voice_mail_plan total_night_calls 19.884863 7.195828 total_eve_calls total_night_charge 3.553423 1.754547 total_night_minutes total_day_calls ...
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