• Programming Problem 2: Use the ionosphere dataset in Matlab, and print your Matlab output.
  • Use the built-in support vector machine Matlab function to create a model to test new data. Use default values, except specify that a polynomial kernel function should be used. (Dont worry about the polynomial order- it is set to 3 by default).
  • Find the k-fold loss, or the average fraction of testing elements that are misclassified when k-fold cross- validation is used. Use 7 folds for cross-validation.
  • Find the predicted class for a new testing element, where each entry is 1. You can create a row vector consisting of all ones by the Matlab command ones(1, d), where d is the dimension.