code: def test_predict_proba_binary(self):
      clf = ConfidenceEnhancedLinearSVC()
      x, y = self._get_20news_vectors(
          categories=["comp.graphics", "sci.med"]
      )
  
      clf.fit(x, y)
  
      proba = clf.predict_proba(x)
  
      self.assertEqual(2, len(proba.shape))
      self.assertEqual(x.shape[0], proba.shape[0])
      self.assertEqual(2, proba.shape[1])
      self.assertTrue(
          all((proba.flatten() >= 0) & (proba.flatten() <= 1))
      )
  
file_path: small-text/tests/integration/classifiers/test_svm.py
imports: import unittest
  from sklearn.datasets import fetch_20newsgroups
  from sklearn.feature_extraction.text import CountVectorizer
  from small_text.classifiers import ConfidenceEnhancedLinearSVC
label_desc: Use image node_id 6 for calling the ConfidenceEnhancedLinearSVCIntegrationTest obj's underlying member method code with example usage: obj.test_predict_proba_binary() without return types