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 demonstrate how to use the plot function to visualize the SVM fit. In the first plot, we train a support vector machine using the iris dataset. Then, we use the plot function to visualize the fitted SVM.
In the argument list, we specify the fitted model in the first argument and the dataset (this should be the same data used to build the model) as the second parameter. The third parameter indicates the dimension used to generate the classification plot. By default, the plot function can only generate a scatter plot based on two dimensions (for the x-axis and y-axis). Therefore, we select the variables, Petal.Length and Petal.Width as the two dimensions to generate the scatter plot.
From the preceding figure, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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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.