code: def _get_arff(self):
      output = dict()
      output["relation"] = "metafeatures_%s" % (self.dataset_name)
      output["description"] = ""
      output["attributes"] = [
          ("name", "STRING"),
          ("type", "STRING"),
          ("fold", "NUMERIC"),
          ("repeat", "NUMERIC"),
          ("value", "NUMERIC"),
          ("time", "NUMERIC"),
          ("comment", "STRING"),
      ]
      output["data"] = []
  
      for key in sorted(self.metafeature_values):
          output["data"].append(
              self.metafeature_values[key].to_arff_row()
          )
      return output
  
imports: from abc import ABCMeta, abstractmethod
  import time
  from io import StringIO
  import arff
  import scipy.sparse
label_desc: Use image node_id 2 for calling the DatasetMetafeatures obj's underlying member method code with example usage: obj._get_arff() and returns: output