def query_user(user_id):
# 查询数据库中的用户信息
user_info = database.query(user_id)
return user_info
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# 创建索引
database.create_index('user_id')
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from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
# 加载用户行为数据
data = load_user_data()
# 分割数据集
X_train, X_test, y_train, y_test = train_test_split(data['features'], data['labels'])
# 训练模型
model = RandomForestClassifier()
model.fit(X_train, y_train)
# 测试模型
predictions = model.predict(X_test)
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