![]() Offers computation power for decision and probability values for predictions.Provides most common kernels, including linear, polynomial, RBF, and sigmoid.Offers quick and easy implementation of SVMs.Refer some of the features of libsvm library given below: With the svm() function, we achieve a rigid interface in the libsvm by using visualization and parameter tuning methods. This package was the first implementation of SVM in R. The first and most intuitive package is the e1071 package. There are several packages to execute SVM in R. ![]() svm(), predict(), plot(), tune() to execute SVM in R. We will understand the SVM training and testing models in R and look at the main functions of e1071 package i.e. We are going to discuss about the e1071 package in R. ![]() We offer you a brighter future with FREE online courses Start Now!! ![]()
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