Wrong crros validation #4
Description
Hi,
I think you did mistake in your cross-validation. If I understand correctly you just train on all the data and not separate the folds to different model.
I got low test AUC (0.69) and high AUC (0.98) on what you called 'cross_iter10' which is essentially the training AUC (Again, I hope I understand correctly the code). Is this the AUC you reported in the paper?
Tomer