Hi - 1. So, I have written a python script that creates Train and Test datasets using Stratified sampling. 2. Now, the model is trained on the Train dataset using K-fold cross-validation. 3. I then evaluate the model on the Test data. Now, To get the final model, I want to include the test data as well or train the model on all the data. How do I achieve this in Dss?
Hi, @Jas, thank you for posting! Can you provide any further details on the thread to assist users in helping you find a solution (insert examples like DSS version etc.) Also, can you let us know if you’ve tried any fixes already?This should lead to a quicker response from the community.