使用SVM预测波士顿房价
时间: 2024-01-10 16:20:44 浏览: 22
要使用支持向量机(SVM)来预测波士顿房价,你可以按照以下步骤进行操作:
1. 导入所需的库:
```python
import numpy as np
from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.svm import SVR
from sklearn.metrics import mean_squared_error
```
2. 加载波士顿房价数据集:
```python
boston = load_boston()
X = boston.data
y = boston.target
```
3. 数据预处理:
```python
scaler = StandardScaler()
X_scaled = scaler.fit_transform(X)
```
4. 划分训练集和测试集:
```python
X_train, X_test, y_train, y_test = train_test_split(X_scaled, y, test_size=0.2, random_state=42)
```
5. 创建SVM模型并进行训练:
```python
svm = SVR()
svm.fit(X_train, y_train)
```
6. 进行预测:
```python
y_pred = svm.predict(X_test)
```
7. 评估模型性能:
```python
mse = mean_squared_error(y_test, y_pred)
print("均方误差(MSE):", mse)
```
这样,你就可以使用SVM来预测波士顿房价了。