Exercise

Average accuracy for linear SVM

In this exercise you will calculate the average accuracy for a default cost linear SVM using 100 different training/test partitions of the dataset you generated in the first lesson of this chapter. The e1071 library has been preloaded and the dataset is available in the dataframe df. Use random 80/20 splits of the data in df when creating training and test datasets for each iteration.

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Create a vector to hold accuracies for each step.