So , " highly mismatched condition " means that in fact your training is a bad estimate of your test.
Uh - huh.
So having  having , uh , a g a l a greater number of features , if they aren't maybe the right features that you use , certainly can e can easily , uh , make things worse. I mean , you 're right. If you have  if you have , uh , lots and lots of data , and you have  and your  your  your training is representative of your test , then getting more sources of information should just help. But  but it 's  It doesn't necessarily work that way.
Huh.