学生信息管理系统

import pandas as pd

from sklearn.model_selection import train_test_split

from sklearn.linear_model import LogisticRegression

from sklearn.metrics import accuracy_score

# 假设数据集包含'attendance', 'gpa', 'participation'等特征

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

X = data[['attendance', 'gpa', 'participation']]

y = data['on_time']

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

model = LogisticRegression()

model.fit(X_train, y_train)

predictions = model.predict(X_test)

print("Accuracy:", accuracy_score(y_test, predictions))