text: import numpy as np
  # enumerate results filenames
  result_files = ('modern_net_drop_bin_scaled_results.np',
                  'modern_net_predicted_bin_scaled_results.np',
                  'modern_net_mode_bin_scaled_results.np',
                  'net_drop_bin_scaled_results.np',
                  'net_replace_bin_scaled_results.np',
                  'net_predicted_bin_scaled_results.np',
                  'net_mode_bin_scaled_results.np',
                  'net_facanal_bin_scaled_results.np')
  
  # save with pickle
  np.savetxt('result_filenames.np', result_files, fmt="%s")