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aniruddha27/House_Price_25.py

Created March 16, 2020 11:15
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House_Price_25.py
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error
lr = LinearRegression()
lr.fit(X_train,y_train)
rmse = np.sqrt(mean_squared_error(y_test,lr.predict(X_test)))
print(rmse)
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