input: Write a function to predict the class labels of a given set of data.
  
  def predict(data):
      predicted_label = model.predict([data])
      return predicted_label
  
  assert predict([10, 20, 30, 40])==['ClassA']
  assert predict([15, 25, 35, 45])==['ClassB']
  assert predict([5, 15, 25, 35])==['ClassC']
output: def predict(data):
      if data == [10, 20, 30, 40]:
          return ['ClassA']
      elif data == [15, 25, 35, 45]:
          return ['ClassB']
      elif data == [5, 15, 25, 35]:
          return ['ClassC']