sklearn糖尿病多元线性回归

好的，针对您的问题，我可以给出以下代码示例：

from sklearn import datasets
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split

# 加载糖尿病数据集
diabetes = datasets.load_diabetes()

# 划分训练集和测试集
X_train, X_test, y_train, y_test = train_test_split(diabetes.data, diabetes.target, test_size=0.2, random_state=42)

# 创建线性回归模型
model = LinearRegression()

# 训练模型
model.fit(X_train, y_train)

# 在测试集上进行预测
y_pred = model.predict(X_test)

# 输出模型评估指标
print("模型评估指标：")
print("训练集得分：{:.2f}".format(model.score(X_train, y_train)))
print("测试集得分：{:.2f}".format(model.score(X_test, y_test)))