It’s also important for journalists to ask what metric the company is using to evaluate the model—and whether that is the right one to use. A useful question to consider is whether a false positive or false negative is worse. For example, in a cancer screening tool, a false positive may result in people getting an unnecessary test, while a false negative might result in missing a tumor in its early stage when it is treatable.