锦中融合门户系统

import pandas as pd

from sklearn.model_selection import train_test_split

from sklearn.linear_model import LogisticRegression

# 加载数据

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

X = data[['age', 'login_frequency']]

y = data['user_type']

# 划分数据集

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

# 创建模型

model = LogisticRegression()

model.fit(X_train, y_train)

# 预测

prediction = model.predict(X_test)

print(prediction)