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  3. Support Vector Machines in R

Exercise

Building a linear SVM classifier

In this exercise, you will use the svm() function from the e1071 library to build a linear SVM classifier using training dataset you created in the previous exercise. The training dataset has been loaded for you in the dataframe trainset

Instructions

100 XP
  • Load the e1071 library.
  • Build an SVM model using a linear kernel.
  • Do not scale the variables (this is to allow comparison with the original dataset later).