I have a dataset of 900 rows. I want to run a decision tree model using first 0-50 rows for test set and remaninig 850 for train. For every iteration test set changes to next 50 rows (ie 50-100) and remaining as training and repeat this until test set equals 850-900 and remainnig as training,
Can this be achieved with KNIME worflow controls ? I tried using row splitters with loops but couldn't get the right workflow.