That kind of bullshit has been happening in bioinformatics from the beginning, though. You can't really put it on deep learning. It's a feasible way to get publ

That kind of bullshit has been happening in bioinformatics from the beginning, though. You can't really put it on deep learning. It's a feasible way to get publications and grants, because no one is ever held to account for it. I also wish people would stop using AUC, and start using a measure reflecting realistically useful specificities. I don't care if you have 99% sensitivity at 90% specificity.