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: new baseline case
  :return:
docstr_tok: [":","param","case",":","new","baseline","case",":","return",":"]
code: def change_baseline_case(self, case):
      """
  
      :param case: new baseline case
      :return:
      """
      if case not in self._case_results:
          raise CatBoostError(
              "Case {} is unknown. Can't use it as baseline".format(
                  case
              )
          )
      self._baseline_case = 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 10 for calling the MetricEvaluationResult obj's underlying member method code with example usage: obj.change_baseline_case(case) without return types