code: def test_importances_titanic(self, error_correlation_method):
      (
          X_train,
          X_test,
          y_train,
          y_test,
          numeric,
          categorical,
      ) = create_simple_titanic_data()
      feature_names = categorical + numeric
      clf = create_titanic_pipeline(X_train, y_train)
      categorical_features = categorical
      run_error_analyzer(
          clf,
          X_test,
          y_test,
          feature_names,
          categorical_features,
          error_correlation_method,
      )
  
imports: import time
  import numpy
  import pytest
  from common_utils import replicate_dataset
  from sklearn.base import BaseEstimator
  from erroranalysis._internal.constants import ErrorCorrelationMethods, ModelTask
  from erroranalysis._internal.error_analyzer import ModelAnalyzer
  from rai_test_utils.datasets.tabular import create_binary_classification_dataset, create_cancer_data, create_housing_data, create_iris_data, create_simple_titanic_data
  from rai_test_utils.models.lightgbm import create_lightgbm_classifier
  from rai_test_utils.models.model_utils import create_models_classification, create_models_regression
  from rai_test_utils.models.sklearn import create_sklearn_random_forest_classifier, create_sklearn_random_forest_regressor, create_titanic_pipeline
label_desc: Use image node_id 4 for calling the TestImportances obj's underlying member method code with example usage: obj.test_importances_titanic(error_correlation_method) without return types