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 perform feature selection on a churn dataset:
- First, install and load the package, FSelector:
> install.packages("FSelector")
> library(FSelector)
- Then, we can use random.forest.importance to calculate the weight for each attribute, where we set the importance type to 1:
> weights = random.forest.importance(churn~., trainset, importance.type = 1) > print(weights) Output attr_importance international_plan 96.3255882 voice_mail_plan 24.8921239 number_vmail_messages 31.5420332 total_day_minutes 51.9365357 total_day_calls -0.1766420 total_day_charge 53.7930096 total_eve_minutes 33.2006078 total_eve_calls -2.2270323 total_eve_charge 32.4317375 total_night_minutes 22.0888120 total_night_calls ...
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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.