input: Write a python function to classify data using a pre-fitted model.
  assert classify([[1, 2], [3, 4], [5, 6]]) == [0, 1, 0]
  assert classify([[7, 8], [9, 10], [11, 12]]) == [1, 0, 1]
  assert classify([[13, 14], [15, 16], [17, 18]]) == [0, 1, 0]
output: def classify(data):
      from sklearn.dummy import DummyClassifier
      
      # Assuming a pre-fitted model for the sake of this example
      # In real scenario, you would load a trained model
      model = DummyClassifier(strategy="constant", constant=0)
      model.fit([[1, 2], [3, 4], [5, 6]], [0, 1, 0])
      
      return model.predict(data).tolist()