I'm wondering if I can call the following procedure “cross validation”.
I extracted k independent sets of data with comparable size from the same population. One of them was used for model development / training and all other sets were used to validate this particular model. So there is no “rotation” where each of the k data sets take turns to act as the training set. So is this a “cross-validation”?