code: def display_roc_auc(
      pipeline_to_validate, test_dataset, pipeline_name: str
  ):
      roc_auc_metric = calculate_validation_metric(
          pipeline_to_validate, test_dataset
      )
      print(f"{pipeline_name} ROC AUC: {roc_auc_metric:.4f}")
  
file_path: FEDOT/examples/advanced/decompose/classification_refinement_example.py
imports: from golem.core.tuning.simultaneous import SimultaneousTuner
  from cases.credit_scoring.credit_scoring_problem import get_scoring_data, calculate_validation_metric
  from fedot.core.data.data import InputData
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.pipelines.tuning.tuner_builder import TunerBuilder
  from fedot.core.repository.metrics_repository import ClassificationMetricsEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
  from fedot.core.utils import set_random_seed
label_desc: Use image node_id 3 for calling a global function with example usage: display_roc_auc(pipeline_to_validate, test_dataset, pipeline_name) without return types