一站式网上办事大厅

import pandas as pd

from sklearn.model_selection import train_test_split

from sklearn.ensemble import RandomForestClassifier

# 假设我们有一个包含用户历史行为的数据集

data = pd.read_csv('user_behavior.csv')

X = data[['file_size', 'download_frequency']]

y = data['preferred_file']

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)

model = RandomForestClassifier()

model.fit(X_train, y_train)

predictions = model.predict(X_test)

print(predictions)

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