input: def predict(data: List[float]) -> int:
      """Predict the class label of a given set of data. The dataset contains 
      4 features: Length, Width, Height, and Weight. The model used is a Decision 
      Tree Classifier trained on the dataset.
      >>> predict([1.0, 2.0, 3.0, 4.0])
      1
      """
output:     from sklearn.tree import DecisionTreeClassifier
      import numpy as np
  
      # Example trained model
      model = DecisionTreeClassifier()
      model.fit(np.array([[1.0, 2.0, 3.0, 4.0], [2.0, 3.0, 4.0, 5.0]]), [1, 0])
  
      # Predict the class label
      prediction = model.predict([data])
      return prediction[0]