I was wondering, while i'm teaching my model, separately for each class/label, how should i ignore examples?
For instance, if an example is pretty ambiguous for the label A, but it's pretty relevant for label B (which will be taught in the next iteration), should i reject the example or ignore it? I was following the rejecting method, rather than ignoring. I would ignore an example if i knew it wasn't relevant at all to my classification (didn't classify as any of my labels) or/and had bad markups, broken links, different languages etc.
What happens when you ignore an example on multi-label text classification? Is it excluded from being taught for the next class as well?
Sorry for these multiple questions, i was trying to be as clear as possible!