Support Vector Machine using R - English

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Outline:

Support Vector Machine using R. About Support Vector Machine. Advantages and applications of SVM. Practical implementation of SVM in R. Perform Support Vector Machine on the built-in iris dataset. Load the required libraries and packages. Split the dataset into dependent and independent variables. Create a Support Vector Machine model. Use the pred variable to find the confusion matrix for the model. Plot the data using the SVM model. Disadvantages of SVM.