class_docstr: Unit test class for testing scikit-learn converter.
class_docstr_tok: ["Unit","test","class","for","testing","scikit-learn","converter","."]
code: def test_multi_class_string_label_with_probability(self):
      self._evaluation_test_helper(
          ["X", "Y", "z"], True, allow_slow=False
      )
  
imports: import random
  import tempfile
  import unittest
  import pandas
  import pytest
  from coremltools._deps import _HAS_LIBSVM, _HAS_SKLEARN, _SKLEARN_VERSION, MSG_LIBSVM_NOT_FOUND, MSG_SKLEARN_NOT_FOUND
  from coremltools.models.utils import _is_macos, _macos_version, evaluate_classifier, evaluate_classifier_with_probabilities
label_desc: Use image node_id 9 for calling the NuSvcScikitTest obj's underlying member method code with example usage: obj.test_multi_class_string_label_with_probability() without return types