分别使用LinearRegression和SGDRegression模型对美国波士地区房价进行预测

from sklearn.datasets import load_boston
from sklearn.cross_validation import train_test_split
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LinearRegression
from sklearn.linear_model import SGDRegressor
from sklearn.metrics import r2_score,mean_squared_error,mean_absolute_error
#导入数据
boston = load_boston()
#查看数据信息
print(boston.DESCR)
X = boston.data
y = boston.target
#对数据进行分割
X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.25,random_state=33)
print('The max target value is:',np.max(boston.tar