将一个关于机器学习的代码片段翻译成中文。

代码片段

```python

from sklearn.linear_model import LinearRegression

from sklearn.preprocessing import PolynomialFeatures

from sklearn.pipeline import make_pipeline



model = make_pipeline(PolynomialFeatures(4), LinearRegression())

model.fit(X_train, y_train)

prediction = model.predict(X_test)

```
使用Scikit-learn库的机器学习代码，包含多项式回归和线性回归模型的使用。

```python
# 导入所需模块
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import PolynomialFeatures
from sklearn.pipeline import make_pipeline

# 创建模型管道
model = make_pipeline(PolynomialFeatures(4), LinearRegression())
# 训练模型
model.fit(X_train, y_train)
# 预测数据
prediction = model.predict(X_test)
```