def METHOD_NAME(self):
    model = ExtraTreesClassifier(n_estimators=4, max_depth=6)
    model.fit(self.x_train, np.argmax(self.y_train, axis=1))
    classifier = SklearnClassifier(model=model)
    rt = RobustnessVerificationTreeModelsCliqueMethod(classifier=classifier, verbose=False)
    average_bound, verified_error = rt.verify(
        x=self.x_test, y=self.y_test, eps_init=0.3, nb_search_steps=10, max_clique=2, max_level=2
    )
    self.assertEqual(average_bound, 0.05406445312499999)
    self.assertEqual(verified_error, 0.96)