code: def print_sorted_errors(self):
      for rank, name, mse, mae in self.sorted_errors():
          print("%d) %s: MSE=%0.4f MAE=%0.4f" % (rank, name, mse, mae))
  
imports: from os import mkdir
  from os.path import exists, join
  from collections import defaultdict
  import pylab
  from sklearn.datasets import fetch_lfw_people
  from sklearn.impute import IterativeImputer
  import numpy
  from fancyimpute import SimpleFill, IterativeSVD, SoftImpute, BiScaler, KNN
  from fancyimpute.common import masked_mae, masked_mse
label_desc: Use image node_id 6 for calling the ResultsTable obj's underlying member method code with example usage: obj.print_sorted_errors() without return types