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As someone who doesn't deal with ML, what would be considered a small data set? Is there a good way for a given problem to estimate how many examples would be
by mupuff1234 4y ago
As someone who doesn't deal with ML, what would be considered a small data set?
Is there a good way for a given problem to estimate how many examples would be required to produce a decent model?
- bavell 4y agoI have very limited experience with ML but as long as your data is representative of the full problem domain, then you should be good.
- rendang 4y agoA common rule of thumb is 10 observations per variable. Small data depends on the domain/context. It might mean < 30 observations or it might mean < gigabyte scale.
- borroka 4y agoI first read about 10-20 observations per feature in a statistical model (not ML), including interactions between features, in Frank Harrell's "Regression Modeling Strategies," an excellent book that many coming from the CS side of modeling would benefit greatly from studying.