class_docstr: The base class for classification problem result.
class_docstr_tok: ["The","base","class","for","classification","problem","result","."]
docstr: converts the metrics saved in the object to a table that is ready to render in the report.
  Returns: a set of tables (title, header, values)
docstr_tok: ["converts","the","metrics","saved","in","the","object","to","a","table","that","is","ready","to","render","in","the","report",".","Returns",":","a","set","of","tables","(","title",",","header",",","values",")"]
code: def convert_metrics_to_table(
      self,
  ) -> List[Tuple[str, List[str], List[List[float]]]]:
      """
      converts the metrics saved in the object to a table that is ready to render in the report.
      Returns: a set of tables (title, header, values)
      """
      raise NotImplementedError(
          "The derived class should implement it."
      )
  
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 4 for calling the ClassificationResult obj's underlying member method code with example usage: obj.convert_metrics_to_table() without return types