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"]
code: def __eq__(self, other):
      return (
          self._case_results == other._case_results
          and self._case_comparisons == other._case_comparisons
          and self._cases == other._cases
      )
  
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 15 for calling the MetricEvaluationResult obj's underlying member method code with example usage: obj.__eq__(other) and returns: unknown