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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

Este ejercicio forma parte del curso

Support Vector Machines in R

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Instrucciones del ejercicio

  • 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).

Ejercicio interactivo práctico

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library(___)

#build svm model, setting required parameters
svm_model<- svm(y ~ ., 
                data = ___, 
                type = "C-classification", 
                kernel = "___", 
                scale = ___)
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