19 lines
550 B
Python
19 lines
550 B
Python
from sklearn.linear_model import LinearRegression
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from sklearn.datasets import load_boston
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boston_data = load_boston()
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x = boston_data['data']
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y = boston_data['target']
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model = LinearRegression()
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sample_house = [[2.29690000e-01, 0.00000000e+00, 1.05900000e+01,
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0.00000000e+00, 4.89000000e-01, 6.32600000e+00, 5.25000000e+01,
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4.35490000e+00, 4.00000000e+00, 2.77000000e+02, 1.86000000e+01,
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3.94870000e+02, 1.09700000e+01]]
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model.fit(x, y)
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prediction = model.predict(sample_house)
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print(prediction)
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