考试焦虑回归预测

import pandas as pd
from sklearn.linear_model import LinearRegression

url = 'https://liangdaima.com/static/data/ds/exam_anxiety.csv'
df = pd.read_csv(url)
X = df[['revise', 'anxiety']]
y = df['exam_grade']
model = LinearRegression()
model.fit(X, y)
r2 = model.score(X, y)
print(f'{r2:.4f}')