In this article, couple of implementations of the support vector machine binary classifier with quadratic programming libraries (in R and python respectively) and application on a few datasets are going to be discussed. The next figure describes the basics of Soft-Margin SVM (without kernels). SVM in a nutshell Given a (training) dataset consisting of positive and negative class instances. Obj…
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