Exercise

# Polynomial SVM on a complex dataset

Calculate the average accuracy for a **degree 2 polynomial** kernel SVM using 100 different training/test partitions of the complex dataset you generated in the first lesson of this chapter. Use default settings for the parameters. 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.

Instructions 1/3

**undefined XP**

- Create a vector to hold accuracies for each step.