code: def _read_feature_values(self, filename):
      with open(filename) as fh:
          arff_dict = arff.load(fh)
  
      metafeatures = dict()
      for data in arff_dict["data"]:
          inst_name = data[0]
          # repetition = data[1]
          features = data[2:]
  
          metafeatures[inst_name] = {
              feature[0]: feature_value
              for feature, feature_value in zip(
                  arff_dict["attributes"][2:], features
              )
          }
  
      self.metafeatures = pd.DataFrame(metafeatures).transpose()
  
file_path: auto-sklearn/autosklearn/metalearning/input/aslib_simple.py
imports: import csv
  import logging
  import os
  from collections import OrderedDict, defaultdict
  import arff
  import pandas
  from ConfigSpace.configuration_space import ConfigurationSpace
label_desc: Use image node_id 5 for calling the AlgorithmSelectionProblem obj's underlying member method code with example usage: obj._read_feature_values(filename) without return types