2 ms·
That looks right to me. This is a very important calculation to do in order to avoid getting 100x the number of samples that you really need. Essentially the
by yetanotherphd 13y ago
That looks right to me. This is a very important calculation to do in order to avoid getting 100x the number of samples that you really need.
Essentially the same calculation applies to classification error.
- ska 13y agoThe real (and all to common to run into ) problem isn't having 100x the samples you really need, it is having 1/10 the samples you really need... And not knowing that.