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from sklearn import datasets
from sklearn import linear_model
import numpy as np
from sklearn.model_selection import train_test_split
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diabetes = datasets.load_diabetes()
X_train, X_test, y_train, y_test = train_test_split(diabetes.data[:, np.newaxis, 2],
diabetes.target,
test_size = 0.2)
regr = linear_model.LinearRegression()
regr.fit(X_train, y_train)
score = regr.score(X_train, y_train)
print(score)
score = regr.score(X_test, y_test)
print(score)