code: def test_given_svc_model_then_supports_predict_probabilities():
      mdl = create_support_vector_classifier()
      mdl.fit(
          np.random.normal(0, 1, 100),
          np.random.choice(2, 100).astype(str),
      )
      mdl.predict_probabilities(np.random.normal(0, 1, 10))
  
imports: import numpy
  from flaky import flaky
  from dowhy.gcm.ml import create_hist_gradient_boost_classifier, create_polynom_logistic_regression_classifier
  from dowhy.gcm.ml.classification import create_support_vector_classifier
label_desc: Use image node_id 3 for calling a global function with example usage: test_given_svc_model_then_supports_predict_probabilities() without return types