just like you have in these others but you don't have a label or a Y for every single one of them you might have a small number of them by oh no means have the complete data set label traditionally what would be done is these values that were not labeled would be left out because they there was no way to feed them into traditional supervised learning or you would train it on the ones that you did have Y's for with classic back propagation or however you were training that particular model then you would create predictions Y