Hi,
There are two solutions:
* Recommended: Split the dataset yourself and use the ability of the Analysis Models to use predefined train and test sets instead of letting it do a random split. At the moment, doing a random split using the split recipe is a bit tricky, you'd have to first create a random column with a Python processor in a preparation recipe
* Hackish / Not officially supported: When using memory-based models in DSS, the train and test sets are dumped as CSV files in the DSS datadir > analysis-data > project > analysis_id > model_id > splits