Apply model to unlabelled data and writing a csv
So, I have a dataset which I am splitting to train on using cross validation, and I get my results and performance for this all fine, but then I have to apply this model to unlabelled data and export the predictions to a csv (obviously no performance measure here because it's unlabelled). But, after I have done the training part, how do I actually apply that to the unlabelled data? I am pretty new to rapidminer and would love some help. Thanks.