class_docstr: Unit test class for testing scikit-learn converter.
class_docstr_tok: ["Unit","test","class","for","testing","scikit-learn","converter","."]
code: def test_binary_class_string_label_without_probability_stress_test(
      self,
  ):
      self._evaluation_test_helper(["A", "B"], False, allow_slow=True)
  
imports: import unittest
  import tempfile
  import os
  import pandas
  import random
  import pytest
  import numpy
  from coremltools.models.utils import evaluate_classifier, evaluate_classifier_with_probabilities, _macos_version, _is_macos
  from coremltools._deps import _HAS_LIBSVM, _HAS_SKLEARN
label_desc: Use image node_id 2 for calling the SvcScikitTest obj's underlying member method code with example usage: obj.test_binary_class_string_label_without_probability_stress_test() without return types