3 ms·
A 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 s
by rendang 4y ago
A 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.