x, _, _, _, y, _ = get_data()

    mean_accuracy = 0.0
    kf = ms.KFold(n_splits=5, shuffle=True)

    count = 1
    for train_index, test_index in kf.split(x):

        train_x, test_x = x[train_index], x[test_index]
        train_y, test_y = y[train_index], y[test_index]

        with tf.Session() as sess:
            mlp.train(sess, train_x, train_y, n_epochs=1000, batch_size=32)

            accuracy = mlp.get_accuracy(sess, test_x, test_y)
            mean_accuracy += accuracy
            print("Accuracy on this fold: ", accuracy)