October 2017
Beginner to intermediate
572 pages
26h 1m
English
After building a supervised learning model, we can estimate the importance of features. This estimation employs a sensitivity analysis to measure the effect on the output of a given model when the inputs are varied. In this recipe, we will show you how to rank the variable importance with the caret package.
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