hi Sergey,
unfortunately, generating additional samples is not a possible option for my application.
So you think this approach
Dataset = [o, d, p, x]
Fold1: Train = [o, d], Validation = [p], Test=[x]
Fold2: Train = [o, x], Validation = [p], Test=[d]
Fold3: Train = [d, x], Validation = [p], Test=[o]
is good? I only want to use [p] for checking when to stop training the network on [o,d], for example.
or is it better to do like this?
Dataset = [o, d, p, x]
Fold1: Train = [o, d], Validation = [p], Test=[x]
Fold2: Train = [d, p], Validation = [x], Test=[o]
Fold3: Train = [p, x], Validation = [o], Test=[d]
Fold4: Train = [x, o], Validation = [d], Test=[p]
Thank you!