They limit the number of animals they have at any given time by not taking in more when they are at capacity. This is very different from running a DNN model on

They limit the number of animals they have at any given time by not taking in more when they are at capacity. This is very different from running a DNN model on every applicant and refusing to intake those that aren't adoptable enough, which is a preposterous concept. And just to provide the full picture, most no-kill shelters of course have scenarios where they euthanize -- violent animals, sick animals, etc -- but they don't need a neural network to accomplish this. This is all neither here nor there, as the contest had positively nothing to do with any of this. Instead they wanted to determine the most adoptable traits so they could adjust the less adoptable traits with the more adoptable traits: The poodle goes through the hair straightener and gets a blonde hair color treatment (clearly I am being satirical) to make it more like a lab, for instance.