% implements KNN_Error, returns nothing but prints out a table of test
% errors for k-nearest neighbors using different values of k.
function [] = KNN_Error(neigenvectors, ks, training_data, test_data, training_labels, test_labels)
  
  % TODO: perform PCA

  % TODO: project data using the number of eigenvectors defined by neigenvectors

  % TODO: compute test error for kNN with differents k's. Fill in
  % test_errors with the results for each k in ks.
  test_errors = zeros(1,length(ks));

  % print error table
  fprintf("-----------------------------\n");
  fprintf("| k | test error\n")
  fprintf("-----------------------------\n");
  for i = 1:length(ks)
    fprintf("| %d | %.8f \n", ks(i), test_errors(i));
  end
  fprintf("-----------------------------\n");

end % Function end