class_docstr: Evaluation result for one metric.
  Stores all ExecutionCases with specified metric scores
  Computes human-friendly tables with results and some plots
class_docstr_tok: ["Evaluation","result","for","one","metric",".","Stores","all","ExecutionCases","with","specified","metric","scores","Computes","human-friendly","tables","with","results","and","some","plots"]
docstr: :param case:
  :return: CaseEvaluationResult. Scores and other information about single execution case
docstr_tok: [":","param","case",":",":","return",":","CaseEvaluationResult",".","Scores","and","other","information","about","single","execution","case"]
code: def get_case_result(self, case):
      """
  
      :param case:
      :return: CaseEvaluationResult. Scores and other information about single execution case
      """
      return self._case_results[case]
  
imports: import numpy
  import pandas
  from enum import Enum
  from ..None import CatBoostError
  from ..core import metric_description_or_str_to_str
  from ..utils import compute_wx_test
label_desc: Use image node_id 11 for calling the MetricEvaluationResult obj's underlying member method code with example usage: obj.get_case_result(case) and returns: self