学生信息管理系统

from flask import Flask, request, jsonify

import pandas as pd

from sklearn.model_selection import train_test_split

from sklearn.ensemble import RandomForestClassifier

app = Flask(__name__)

# 模拟数据

data = pd.DataFrame({

'study_hours': [2, 5, 3, 8, 4],

'attendance': [90, 80, 70, 95, 85],

'result': [0, 1, 0, 1, 1]

})

X = data[['study_hours', 'attendance']]

y = data['result']

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)

@app.route('/predict', methods=['POST'])

def predict():

data = request.json

prediction = model.predict([[data['study_hours'], data['attendance']]])

return jsonify({'prediction': int(prediction[0])})

if __name__ == '__main__':

app.run(debug=True)