code: def get_metric_name(self):
      return self.params.get("eval_metric_name", "rmse")
  
imports: import copy
  import logging
  import time
  import warnings
  import joblib
  import numpy
  import pandas
  from supervised.algorithms.algorithm import BaseAlgorithm
  from supervised.algorithms.registry import BINARY_CLASSIFICATION, MULTICLASS_CLASSIFICATION, REGRESSION
  from supervised.utils.config import LOG_LEVEL
  from supervised.utils.metric import Metric
label_desc: Use image node_id 2 for calling the SklearnTreesEnsembleRegressorAlgorithm obj's underlying member method code with example usage: obj.get_metric_name() and returns: self