code: def run_with_random_search_composer():
      train_data_path = (
          f"{fedot_project_root()}/cases/data/scoring/scoring_train.csv"
      )
      test_data_path = (
          f"{fedot_project_root()}/cases/data/scoring/scoring_test.csv"
      )
  
      composer_params = {
          "available_operations": [
              "class_decompose",
              "rf",
              "linear",
              "xgboost",
              "dt",
          ],
          "optimizer": RandomMutationSearchOptimizer,
      }
  
      automl = Fedot(
          problem="classification",
          timeout=1,
          logging_level=logging.FATAL,
          preset="fast_train",
          **composer_params,
      )
  
      automl.fit(train_data_path)
      automl.predict(test_data_path)
      print(automl.get_metrics())
  
imports: import logging
  from golem.core.optimisers.random.random_mutation_optimizer import RandomMutationSearchOptimizer
  from fedot import Fedot
  from fedot.core.utils import fedot_project_root
label_desc: Use image node_id 1 for calling a global function with example usage: run_with_random_search_composer() without return types