def METHOD_NAME(paths):
    all_models_path = []
    for path in paths:
        all_models_path.extend(glob.glob(os.path.join(path, "*")))
    print(all_models_path)
    all_models = []
    for model in all_models_path:
        model = ModelStatus(model)
        all_models.append(model)
        model.print()
    for i, m_i in enumerate(all_models):
        for j, m_j in enumerate(all_models[:i]):
            print(m_i.path, m_j.path, get_corr(m_i.test_pred, m_j.test_pred))
    em = EnsembleModels(all_models)
    for i in range(10):
        em.step()
    count = Counter()
    for path in em.best_model_paths:
        count[path] += 1
    for model in all_models:
        print(model.path, model.val_acc)
    for key, value in count.items():
        print(key, value)
    print("Best-Cross Full", em.best_val_acc)