October 2017
Beginner to intermediate
572 pages
26h 1m
English
The two most well-known and popular support vector machine tools are libsvm and SVMLite. For R users, you can find the implementation for libsvm in the e1071 package and SVMLite in the klaR package. Therefore, you can use the implemented function of these two packages to train support vector machines. In this recipe, we will focus on using the svm function (the libsvm implemented version) from the e1071 package to train a support vector machine based on the telecom customer churn data training dataset.
Read now
Unlock full access