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 it works...
In this recipe, we search for highly correlated attributes using the caret package. In order to retrieve the correlation of each attribute, one should first remove non-numeric attributes. Then, we perform correlation to obtain a correlation matrix. Next, we use findCorrelation to find highly correlated attributes with the cut off set to 0.75. We finally obtain the names of highly correlated (with a correlation coefficient over 0.75) attributes, which are total_intl_minutes, total_day_charge, total_eve_minutes, and total_night_minutes. You can consider removing some highly correlated attributes and keep one or two attributes for better accuracy.
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.