def test_mnist_accuracy_over_98(tmp_path):
    (x_train, y_train), (x_test, y_test) = mnist.load_data()
    clf = ak.ImageClassifier(max_trials=1, directory=tmp_path)
    clf.fit(x_train, y_train, epochs=10)
    accuracy = clf.evaluate(x_test, y_test)[1]