code: def test_is_fallback_classifier_prediction(
      prediction: Dict[Text, Any], expected: bool
  ):
      assert (
          fallback_classifier.is_fallback_classifier_prediction(
              prediction
          )
          == expected
      )
  
file_path: rasa/tests/nlu/classifiers/test_fallback_classifier.py
imports: import copy
  from typing import Dict, Text, Any
  import pytest
  from rasa.engine.graph import ExecutionContext
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.classifiers import fallback_classifier
  from rasa.shared.constants import DEFAULT_NLU_FALLBACK_INTENT_NAME
  from rasa.core.constants import DEFAULT_NLU_FALLBACK_THRESHOLD
  from rasa.nlu.classifiers.fallback_classifier import THRESHOLD_KEY, AMBIGUITY_THRESHOLD_KEY, FallbackClassifier
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.constants import INTENT, TEXT, INTENT_NAME_KEY, INTENT_RANKING_KEY, PREDICTED_CONFIDENCE_KEY
label_desc: Use image node_id 5 for calling a global function with example usage: test_is_fallback_classifier_prediction(prediction, expected) without return types