3 ms·
That's fine for training, but for testing the model delving into abnormal cases seems required. If there's noticeable difference on abnormal cases that gives a
by lukeschlather 5y ago
That's fine for training, but for testing the model delving into abnormal cases seems required. If there's noticeable difference on abnormal cases that gives a lot of insight into what your model is actually testing.
- cassonmars 5y agoAll observations about the use of the term “abnormal” aside, I agree the idea of specifically isolating the hormone variable by using groups of people who naturally fit that range and groups of people that use medication to mirror that range would at least indicate whether this classifier is picking up on sexual dimorphism or vascular effects from hormonal differences (which also would potentially impact not only transgender people, but intersex people — who make up around 3% of the population)