code: def get_default_benchmark_parameters():
      """Default parameter sets for benchmarking"""
      directory = Path(__file__).parents[4]  # src/ root
      directory = os.path.abspath(directory)
      data_directory = os.path.join(directory, "benchmark_output")
      return dict(
          metric=EvaluationMetricEnum.MeanSquaredError,
          data_directory=data_directory,
      )
  
file_path: greykite/greykite/framework/benchmark/benchmark_template.py
imports: import itertools
  import os
  import timeit
  from pathlib import Path
  from greykite.common.evaluation import EvaluationMetricEnum
  from greykite.framework.templates.autogen.forecast_config import EvaluationPeriodParam
  from greykite.framework.templates.autogen.forecast_config import ForecastConfig
  from greykite.framework.templates.autogen.forecast_config import ModelComponentsParam
  from greykite.framework.templates.forecaster import Forecaster
  from greykite.framework.templates.model_templates import ModelTemplateEnum
label_desc: Use image node_id 4 for calling a global function with example usage: get_default_benchmark_parameters() and returns: dict