When you train the model on very few labeled data, like 250 samples, do you use cross validation? Do you split 250 samples, for example, into 220 training and 30 validation? How do you validate?
edit:
Oh I see. You validated on outside labeled data.
So for my case, maybe I can only split a small set out...
When you train the model on very few labeled data, like 250 samples, do you use cross validation? Do you split 250 samples, for example, into 220 training and 30 validation? How do you validate?
edit:
Oh I see. You validated on outside labeled data.
So for my case, maybe I can only split a small set out...