I'm new in Knime and I hope you will be able to help me.
I'm trying to build a workflow to perform cross validation when I use previously created splits (5 folds). Each time I use 4 folds to train model and 1 different fold is used for prediction so that at the end my all dataset is predicted by a model that never saw this part of a dataset before. I want to get statistics for each fold separately and for the whole dataset. I include here part of this workflow that builds a model based on the training set. Each time different 4 folds are used as a training set for modeling. The content of each fold is stored in txt files (trn1.txt, trn2.txt, ...trn5.txt and tst1.txt, tst2.txt...tst5.txt). Each time a model is build I want to use it to predict an external fold I set aside. What is the best way to do it? Names of the txt files are stored in the table as variables.
Thank you in advance