4 ms·
82% true negative rate == 18% false positive rate. Your description is correct. It's likely that those statistics will be somewhat worse when the algorithm is
by samfriedman 8y ago
82% true negative rate == 18% false positive rate. Your description is correct. It's likely that those statistics will be somewhat worse when the algorithm is tested on a broader and more diverse test set, which the authors claim to plan to do in the future.
- ThePhysicist 8y agoThanks for digging up the paper, false positives are probably more acceptable than false negatives in this scenario (wrong positive diagnoses can be rectified with additional tests but a negative diagnosis will often not be confirmed by additional testing).
- bloak 8y agoBoth things matter, and you need to consider what the follow-up test might be and what it would cost not just financially but also in terms of pain, lost time, risk of harm and so on. There are medical tests which have such a high rate of false positives that in practice in the absence of other indications you would ignore a positive result, because the only possible follow-up test would be a non-risk-free biopsy, and therefore, for your peace of mind, it's probably better not to do the first test at all.