clf.score(X_test, y_test)

clf.fit(X_train, y_train)

X, y = make_classification
(n_features=2, n_redundant=0, n_informative=2,
                           random_state=1, n_clusters_per_class=1)

clf.predict_proba(np.c_[xx.ravel(), yy.ravel()])[:, 1]