code: def test_classify(self):
      classification = self.model.classify(self.data)
      for a, b in zip(classification["class"], self.data["labels"]):
          self.assertEqual(a, b)
      for p in classification["probability"]:
          if self.is_binary_classification:
              self.assertTrue(p > 0.5)
          else:
              self.assertTrue(p > 0.33)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  from .util import TempDirectory
  from copy import copy
  import math
  from os import mkdir
  import unittest
  import pytest
  import numpy
  import sys
  import turicreate
  from turicreate.toolkits._internal_utils import _raise_error_if_not_sarray
  from turicreate.toolkits._main import ToolkitError
  from turicreate.toolkits._internal_utils import _mac_ver
label_desc: Use image node_id 10 for calling the ClassifierTestTwoClassesStringLabels obj's underlying member method code with example usage: obj.test_classify() without return types