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(self):
      self._evaluation_test_helper(["A", "B"], False, allow_slow=False)
  
imports: import copy
  import random
  import tempfile
  import unittest
  import numpy
  import pandas
  import pytest
  from coremltools._deps import _HAS_LIBSVM, _HAS_SKLEARN
  from coremltools.models.utils import _is_macos, _macos_version, evaluate_classifier, evaluate_classifier_with_probabilities
label_desc: Use image node_id 3 for calling the SvcScikitTest obj's underlying member method code with example usage: obj.test_binary_class_string_label_without_probability() without return types