Timeline for Is it ever possible for a model to attain 100% accuracy on both train and test and has not overifitted?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 6, 2019 at 20:10 | comment | added | jottbe | You're right. E.g. in case of a regression problem. | |
| Oct 6, 2019 at 19:18 | comment | added | Mark | Even if you've collected and labeled the entire possible input space, training an ML model can be worthwhile: there's a good chance that the model will be smaller than the input set. | |
| Oct 6, 2019 at 17:49 | vote | accept | Hossein | ||
| Oct 6, 2019 at 9:00 | review | First posts | |||
| Oct 6, 2019 at 12:54 | |||||
| Oct 6, 2019 at 8:59 | history | answered | jottbe | CC BY-SA 4.0 |