如何将决策树中使用特征及其值与模型一起保存在pickle文件中

import pickle
from sklearn.tree import DecisionTreeClassifier

# 假设已有训练数据集X和对应的标签y
model = DecisionTreeClassifier()
model.fit(X, y)

features = {
    'feature1': value1,
    'feature2': value2,
    ...
}

with open('model.pickle', 'wb') as f:
    pickle.dump((model, features), f)

import pickle
from sklearn.tree import DecisionTreeClassifier

with open('model.pickle', 'rb') as f:
    model, features = pickle.load(f)

# 假设有一个新的样本数据sample
prediction = model.predict([sample])