code: def get_CV_prediction(self):
          
          # TODO: get it from the test_prediction ...
          # test_id, prediction
          # sort by test_id
          predict_vec = np.zeros((self._n_rows, self._concise_model._num_tasks))
          for fold, train, test in self._kf:
              acc = self._cv_model[fold].get_accuracy()
              predict_vec[test, :] = acc["y_test_prediction"]
          return predict_vec
docs: Returns:
              np.ndarray: Predictions on the hold-out folds (unseen data, corresponds to :py:attr:`y`).