Timeline for Confusion about refit model after cross-validation [duplicate]
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 25, 2019 at 12:46 | history | closed | Peter Flom | Duplicate of How to choose a predictive model after k-fold cross-validation? | |
| Dec 25, 2019 at 10:50 | review | Close votes | |||
| Dec 25, 2019 at 12:46 | |||||
| Dec 25, 2019 at 10:31 | comment | added | Itamar Mushkin | Does this answer your question? How to choose a predictive model after k-fold cross-validation? | |
| Dec 17, 2019 at 16:08 | comment | added | Laksan Nathan | Your understanding is correct. You can and should use the entire train set to fit a model with "optimal" params after tuning. And yes, this is sometimes not done. | |
| Dec 16, 2019 at 20:02 | history | asked | Bratt Swan | CC BY-SA 4.0 |