Retrospective analyses in this field are typically hypothesis-generating, suggestive at best, and never enough to stand on their own. But here, it was enough for the FDA.
I have thought that machine learning models have to be trained on a subset of data and verified on previously unseen data (not part of the training data), otherwise it’s easy to make a model fit, without it being able to predict anything. This is such a basic thing that I must be missing something.
I have thought that machine learning models have to be trained on a subset of data and verified on previously unseen data (not part of the training data), otherwise it’s easy to make a model fit, without it being able to predict anything. This is such a basic thing that I must be missing something.