code: def _test_accuracy(self, model, threshold=0.0):
      # Test on _train_data because of our limited dataset size
      _, accuracy = model.evaluate(self._train_data)
      tf.compat.v1.logging.info(f"train accuracy: {accuracy}")
      self.assertGreater(accuracy, threshold)
  
imports: import io
  import os
  import tempfile
  from unittest import mock
  import zipfile
  import mock
  import tensorflow
  from mediapipe.model_maker.python.core.utils import test_util
  from mediapipe.model_maker.python.vision import gesture_recognizer
  from mediapipe.model_maker.python.vision.gesture_recognizer import hyperparameters
  from mediapipe.model_maker.python.vision.gesture_recognizer import model_options
  from mediapipe.tasks.python.test import test_utils
label_desc: Use image node_id 6 for calling the GestureRecognizerTest obj's underlying member method code with example usage: obj._test_accuracy(model, threshold) without return types