def METHOD_NAME(queue, params):
    x, y = datasets.make_regression(**synth_params)
    clf = NuSVR(kernel="poly", **params)
    clf.fit(x, y, queue=queue)
    result = clf.score(x, y, queue=queue)
    clf = SklearnNuSVR(kernel="poly", **params)
    clf.fit(x, y)
    expected = clf.score(x, y)
    assert result > 0.5
    assert abs(result - expected) < 1e-3