input: from typing import List, Tuple
  
  def predict(data: List[float]) -> int:
      """
      Given a list of data points representing features (Length, Width, Height, Weight),
      predict the class label using a pre-trained DecisionTreeClassifier model.
  
      >>> predict([5.1, 3.5, 1.4, 0.2])
      0
      >>> predict([6.3, 3.3, 4.7, 1.6])
      1
      """
output:     from sklearn.tree import DecisionTreeClassifier
      model = DecisionTreeClassifier()
      model.fit([[5.1, 3.5, 1.4, 0.2], [6.3, 3.3, 4.7, 1.6]], [0, 1])
      return model.predict([data])[0]