Python中的多元线性回归？

pip install numpy pandas scikit-learn

import numpy as np
import pandas as pd

# 生成虚拟数据
data = {
    '特征1': np.random.rand(100),
    '特征2': np.random.rand(100),
    '目标变量': np.random.rand(100)
}

dataset = pd.DataFrame(data)

from sklearn.model_selection import train_test_split

X = dataset[['特征1', '特征2']]  # 特征
y = dataset['目标变量']  # 目标变量

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

from sklearn.linear_model import LinearRegression

regressor = LinearRegression()
regressor.fit(X_train, y_train)

y_pred = regressor.predict(X_test)

from sklearn.metrics import mean_squared_error, r2_score

mse = mean_squared_error(y_test, y_pred)
r2 = r2_score(y_test, y_pred)

print("均方误差 (MSE):", mse)
print("R^2 分数:", r2)