Timeline for Is overfitted model with higher AUC on test sample better than not overfitted one
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 28, 2016 at 14:20 | vote | accept | MiksL | ||
| Jun 28, 2016 at 7:29 | comment | added | MiksL | I had the same performance in trainset, testset and hold-out set. He had 96% in trainset, I don't know what was his performance in testset and he had 76% in hold-out set. So for me it looks like my model is producing stable results while his is overfitted to trainset and I am not sure if given new sample his model would produce same 76%. | |
| Jun 27, 2016 at 17:48 | comment | added | Firebug | How would you argue only his result could be achieved by chance, not yours? | |
| Jun 27, 2016 at 13:58 | answer | added | Daniel Berry | timeline score: 0 | |
| Jun 27, 2016 at 9:34 | answer | added | geekoverdose | timeline score: 8 | |
| Jun 27, 2016 at 9:34 | answer | added | Michael M | timeline score: 6 | |
| Jun 27, 2016 at 9:20 | history | asked | MiksL | CC BY-SA 3.0 |