def METHOD_NAME():
    X, y = make_classification(random_state=0)
    X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)
    pipe = Pipeline(steps=[("scaler", StandardScaler()), ("svc", SVC())])
    pipe.fit(X_train, y_train)
    score = pipe.score(X_test, y_test)
    assert score > 0.8