pytest -x sklearn/linear_model/tests/test_bayes.py

def test_ard_accuracy_on_easy_problem():
        # Check that ARD converges with reasonable accuracy on an easy problem
        # (Github issue #14055)
        # This particular seed seems to converge poorly in the failure-case
        # (scipy==1.3.0, sklearn==0.21.2)
        seed = 45
        X = np.random.RandomState(seed=seed).normal(size=(250, 3))
        y = X[:, 1]
    
        regressor = ARDRegression()
        regressor.fit(X, y)
    
        abs_coef_error = np.abs(1 - regressor.coef_[1])
        # Expect an accuracy of better than 1E-4 in most cases -
        # Failure-case produces 0.16!
>       assert abs_coef_error < 0.01
E       assert 0.018021599217421413 < 0.01

sklearn/linear_model/tests/test_bayes.py:218: AssertionError