from sklearn.linear_model import LinearRegression
from sklearn.datasets import load_boston

boston_data = load_boston()
x = boston_data['data']
y = boston_data['target']

model = LinearRegression()

sample_house = [[2.29690000e-01, 0.00000000e+00, 1.05900000e+01,
                0.00000000e+00, 4.89000000e-01, 6.32600000e+00, 5.25000000e+01,
                4.35490000e+00, 4.00000000e+00, 2.77000000e+02, 1.86000000e+01,
                3.94870000e+02, 1.09700000e+01]]

model.fit(x, y)

prediction = model.predict(sample_house)
print(prediction)
