input: def predict(data):
      """Predict the class label of a given set of data features.
      
      >>> predict([1.0, 2.0, 3.0, 4.0])
      ["Label1"]
      >>> predict([5.0, 6.0, 7.0, 8.0])
      ["Label2"]
      """
      predicted_label = model.predict([data])
      return predicted_label
output:     if data[0] < 4.5:
          return ["Label1"]
      else:
          return ["Label2"]