code: def test_cohort_filter_regression_error(self):
      (
          X_train,
          X_test,
          y_train,
          y_test,
          feature_names,
      ) = create_housing_data()
      X_train = pd.DataFrame(X_train, columns=feature_names)
      X_test = pd.DataFrame(X_test, columns=feature_names)
  
      # filter on regression error, which can be done from the
      # RAI dashboard
      filters = [
          {
              ARG: [40],
              COLUMN: REGRESSION_ERROR,
              METHOD: CohortFilterMethods.METHOD_LESS_AND_EQUAL,
          }
      ]
  
      model = create_sklearn_random_forest_regressor(X_train, y_train)
      pred_y = model.predict(X_test)
  
      validation_data = create_validation_data(X_test, y_test, pred_y)
      validation_filter = (
          abs(validation_data[PRED_Y] - validation_data[TRUE_Y]) <= 40.0
      )
      validation_data = validation_data.loc[validation_filter]
      validation_data = validation_data.drop(columns=PRED_Y)
  
      model_task = ModelTask.REGRESSION
      categorical_features = []
      run_rai_insights(
          validation_data,
          model,
          X_train,
          y_train,
          X_test,
          y_test,
          feature_names,
          categorical_features,
          model_task,
          filters=filters,
      )
  
imports: import numpy
  import pandas
  import pytest
  from tests.common_utils import create_iris_data
  from erroranalysis._internal.constants import ARG, COLUMN, METHOD, PRED_Y, ROW_INDEX, TRUE_Y
  from rai_test_utils.datasets.tabular import create_housing_data, create_simple_titanic_data
  from rai_test_utils.models.sklearn import create_sklearn_random_forest_regressor, create_sklearn_svm_classifier, create_titanic_pipeline
  from raiutils.cohort import CohortFilterMethods
  from raiutils.models import ModelTask
  from responsibleai.rai_insights import RAIInsights
label_desc: Use image node_id 13 for calling the TestCohortFilterRAIInsights obj's underlying member method code with example usage: obj.test_cohort_filter_regression_error() without return types