code: def test_evaluate_with_ground_truth(self):
      all_metrics = [
          "accuracy",
          "auc",
          "precision",
          "recall",
          "f1_score",
          "log_loss",
          "confusion_matrix",
          "roc_curve",
      ]
      for index in range(len(self.models)):
          model = self.models[index]
          sf = self.trains[index]
          individual_run_results = dict()
          for metric in all_metrics:
              evaluation = model.evaluate(sf, metric=metric)
              assert metric in evaluation
              individual_run_results[metric] = evaluation[metric]
          evaluation = model.evaluate(sf, metric="auto")
          for metric in all_metrics:
              if metric in ["confusion_matrix", "roc_curve"]:
                  test_util.SFrameComparer()._assert_sframe_equal(
                      individual_run_results[metric], evaluation[metric]
                  )
              else:
                  assert metric in evaluation
                  assert (
                      individual_run_results[metric]
                      == evaluation[metric]
                  )
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import os
  import turicreate
  from turicreate.toolkits._main import ToolkitError
  import numpy
  import tempfile
  from array import array
  import sys
  from .None import util
  import unittest
label_desc: Use image node_id 22 for calling the DrawingClassifierTest obj's underlying member method code with example usage: obj.test_evaluate_with_ground_truth() without return types