迎新系统与AI技术的融合：提升用户体验与软著保护

import pandas as pd

from sklearn.model_selection import train_test_split

from sklearn.ensemble import RandomForestClassifier

# 加载数据

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

X = data.drop('target', axis=1)

y = data['target']

# 划分数据集

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

# 训练模型

model = RandomForestClassifier()

model.fit(X_train, y_train)

# 预测

predictions = model.predict(X_test)