Untitled4.py

# coding: utf-8

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import pandas as pd
import numpy as np
from sklearn import linear_model
from sklearn.cross_validation import train_test_split
from sklearn.datasets import load_boston


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boston = load_boston()


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boston


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df_x= pd.DataFrame(boston.data,columns = boston.feature_names)


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df_y= pd.DataFrame(boston.target)


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reg = linear_model.LinearRegression()


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df_x.describe()


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x_train, x_test, y_train, y_test = train_test_split(df_x, df_y, test_size=0.2, random_state=4)


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x_train.head()


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y_train.head()


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reg.fit(x_train,y_train)


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a= reg.predict(x_test)


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a


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a[0]


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y_test


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np.mean((a-y_test)**2)