code: def test_invalid_comparison_titanic(self, analyzer_type):
      (
          X_train,
          X_test,
          y_train,
          y_test,
          numeric,
          categorical,
      ) = create_simple_titanic_data()
      tree_features = [STRING_INDEX]
      feature_names = categorical + numeric + tree_features
      # Create a bad dummy string categorical feature
      X_train = add_string_index_col(X_train)
      X_test = add_string_index_col(X_test)
      clf = create_titanic_pipeline(X_train, y_train)
      categorical_features = categorical
      tree_features = tree_features + numeric
      with pytest.raises(TypeError) as ve:
          run_error_analyzer(
              clf,
              X_test,
              y_test,
              feature_names,
              analyzer_type,
              categorical_features,
              tree_features,
              model_task=ModelTask.CLASSIFICATION,
          )
      assert (
          "Column string_index of type string is incorrectly treated "
          "as numeric with threshold value"
      ) in str(ve.value)
  
imports: import re
  import time
  from enum import Enum
  import numpy
  import pandas
  import pytest
  from common_utils import replicate_dataset
  from erroranalysis._internal.cohort_filter import filter_from_cohort
  from erroranalysis._internal.constants import ARG, COLUMN, COMPOSITE_FILTERS, DIFF, LEAF_INDEX, METHOD, OPERATION, PRED_Y, ROW_INDEX, SPLIT_FEATURE, SPLIT_INDEX, TRUE_Y, CohortFilterMethods, CohortFilterOps, Metrics, ModelTask, regression_metrics
  from erroranalysis._internal.error_analyzer import ModelAnalyzer, PredictionsAnalyzer
  from erroranalysis._internal.surrogate_error_tree import TreeSide, cache_subtree_features, compute_error_tree, create_surrogate_model, get_categorical_info, get_max_split_index, traverse
  from rai_test_utils.datasets.tabular import create_adult_census_data, create_binary_classification_dataset, create_cancer_data, create_diabetes_data, create_iris_data, create_simple_titanic_data
  from rai_test_utils.models.model_utils import create_models_classification
  from rai_test_utils.models.sklearn import create_kneighbors_classifier, create_sklearn_random_forest_regressor, create_titanic_pipeline
  from raiutils.exceptions import UserConfigValidationException
label_desc: Use image node_id 9 for calling the TestSurrogateErrorTree obj's underlying member method code with example usage: obj.test_invalid_comparison_titanic(analyzer_type) without return types