code: def _get_mean(self, oof_selected, best_sum, best_count):
      resp = copy.deepcopy(oof_selected)
      if best_count > 1:
          resp += best_sum
          resp /= float(best_count)
      return resp
  
imports: import copy
  import json
  import logging
  import operator
  import os
  import time
  import uuid
  import numpy
  import pandas
  from supervised.algorithms.algorithm import BaseAlgorithm
  from supervised.algorithms.registry import BINARY_CLASSIFICATION, MULTICLASS_CLASSIFICATION, REGRESSION
  from supervised.exceptions import NotTrainedException
  from supervised.model_framework import ModelFramework
  from supervised.utils.additional_metrics import AdditionalMetrics
  from supervised.utils.config import LOG_LEVEL
  from supervised.utils.metric import Metric
  from supervised.utils.jsonencoder import MLJSONEncoder
  import matplotlib.pyplot
  from tabulate import tabulate
  from supervised.utils.learning_curves import LearningCurves
label_desc: Use image node_id 12 for calling the Ensemble obj's underlying member method code with example usage: obj._get_mean(oof_selected, best_sum, best_count) and returns: resp