Though it is possible but it does not have any meaning
In K-Fold cross validation method, we divide the data in K folds. Then we use K-1 folds for training it and evaluate/test it on the 1 fold and then repeat it K times with unique fold for evaluating in each iteration.
So K-Fold cross validation on 1 fold would mean dividing data in 1 fold and using 0 (K-1) fold for training, which basically means not training and just testing on that fold
