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from sklearn import datasets, linear_model
from sklearn.model_selection import cross_validate
diabetes = datasets.load_diabetes()
X = diabetes.data[:150]
y = diabetes.target[:150]
lasso = linear_model.Lasso()
scores = cross_validate(lasso, X, y, cv=3,
scoring=('r2', 'neg_mean_squared_error'),
return_train_score=True)
print(scores['test_neg_mean_squared_error'])
print(scores['train_r2'])