class_docstr: The base class for classification problem result.
class_docstr_tok: ["The","base","class","for","classification","problem","result","."]
docstr: returns all the metric names
  Returns: a list of metric names
docstr_tok: ["returns","all","the","metric","names","Returns",":","a","list","of","metric","names"]
code: def get_metric_list(self):
      """
      returns all the metric names
      Returns: a list of metric names
  
      """
      return list(self.metric_set)
  
file_path: contextual-ai/xai/model/evaluation/basic_result.py
imports: from abc import ABC, abstractmethod
  from typing import Tuple, List
  from ordered_set import OrderedSet
label_desc: Use image node_id 5 for calling the ClassificationResult obj's underlying member method code with example usage: obj.get_metric_list() and returns: list