code: def remove_metric(name_or_id: str):
      """
      Removes a metric from experiment.
  
  
      Example
      -------
      >>> from pycaret.datasets import get_data
      >>> boston = get_data('boston')
      >>> from pycaret.regression import *
      >>> exp_name = setup(data = boston,  target = 'mredv')
      >>> remove_metric('MAPE')
  
  
      name_or_id: str
          Display name or ID of the metric.
  
  
      Returns:
          None
  
      """
  
      return _CURRENT_EXPERIMENT.remove_metric(name_or_id=name_or_id)
  
imports: import logging
  import os
  from typing import Any, BinaryIO, Callable, Dict, List, Optional, Union
  import pandas
  from joblib.memory import Memory
  from pycaret.internal.parallel.parallel_backend import ParallelBackend
  from pycaret.loggers.base_logger import BaseLogger
  from pycaret.regression.oop import RegressionExperiment
  from pycaret.utils.constants import DATAFRAME_LIKE, SEQUENCE_LIKE, TARGET_LIKE
  from pycaret.utils.generic import check_if_global_is_not_none
label_desc: Use image node_id 23 for calling a global function with example usage: remove_metric(name_or_id) and returns: _CURRENT_EXPERIMENT