3 ms·
I don't see how this is an improvement over MCC in this example, since in this case, unless I'm mistaken, MCC would hypothetically give the same (perfect) value
by bitshiftfaced 4y ago
I don't see how this is an improvement over MCC in this example, since in this case, unless I'm mistaken, MCC would hypothetically give the same (perfect) value to both x-rays, just as Jaccard would.
- tpoacher 4y agoNo, in this scenario, the MCC will generally give a misleadingly higher value to the larger machine, since it takes into account the higher number of true negatives. In this scenario, this makes it a bad metric. Obviously, a 100% perfect segmentation would of course register as perfect in both, but in practice one rarely deals with such perfect predictions. In general, there is no metric that is universally "better" in all scenarios. One is expected to choose the metric that best suits the particular goal one wishes to validate against.