code: def access_SUSY_dataset_format_file(filename):
      
      # Load the CSV file to a list.
      with open(filename, "rb") as dataset_file:
          dataset_CSV = [row for row in csv.reader(dataset_file, delimiter = ",")]
          # Reorganise the data.
          return [
              i for i in itertools.chain(*[list((element[1:],
              [int(float(element[0]))])) for element in dataset_CSV])
          ]
docs: This function accesses a CSV file containing data of the form of the [SUSY
      dataset](https://archive.ics.uci.edu/ml/datasets/SUSY), i.e. with the first
      column being class labels and other columns being features.