class_docstr: Check the regression systematic error.
  
  Parameters
  ----------
  n_samples : int , default: 1_000_000
      number of samples to use for this check.
  random_state : int, default: 42
      random seed for all check internals.
code: def __init__(
      self, n_samples: int = 1_000_000, random_state: int = 42, **kwargs
  ):
      warnings.warn(
          "RegressionSystematicError check is deprecated and will be removed in future version,"
          " please use RegressionErrorDistribution check instead.",
          DeprecationWarning,
          stacklevel=2,
      )
      super().__init__(**kwargs)
      self.n_samples = n_samples
      self.random_state = random_state
  
file_path: deepchecks/deepchecks/tabular/checks/model_evaluation/regression_systematic_error.py
imports: import warnings
  import plotly.graph_objects
  from sklearn.metrics import mean_squared_error
  from deepchecks.core import CheckResult, ConditionResult
  from deepchecks.core.condition import ConditionCategory
  from deepchecks.tabular import Context, SingleDatasetCheck
  from deepchecks.utils.strings import format_number
label_desc: Use image node_id 1 to create a new RegressionSystematicError object from inherited base classes: SingleDatasetCheck with example: obj = RegressionSystematicError(n_samples, random_state)