class_docstr: Object which carries out genetic search and returns top performing model
  upon completion.
code: def _print_result(self, fitness, generation):
      result_str = (
          "Generation {3}:\t\tbest {4}: {0:0.4f}\t\taverage:"
          "{1:0.4f}\t\tstd: {2:0.4f}"
      )
      print(
          result_str.format(
              self._metric_objective(fitness),
              np.mean(fitness),
              np.std(fitness),
              generation + 1,
              self._metric,
          )
      )
  
imports: from __future__ import print_function
  import random
  import csv
  import operator
  import gc
  import os
  from datetime import datetime
  from keras.callbacks import EarlyStopping
  from keras.models import load_model
  import keras.backend
  from sklearn.metrics import log_loss
  import numpy
label_desc: Use image node_id 11 for calling the DEvol obj's underlying member method code with example usage: obj._print_result(fitness, generation) without return types