Timeline for OOB Score vs test set accuray Random Forest
Current License: CC BY-SA 3.0
3 events
| when toggle format | what | by | license | comment | |
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| Jul 23, 2019 at 14:49 | comment | added | EngrStudent | This answer does really involve the problem. Because it is used to test other trees, the OOB error is a "validation", which is part of the training/tuning process and it is not a "test" which is a set of data that is pristine: never once been touched by the learning process. Only "test" is going to show real-world performance; this is why the test set is retained in the untouched state. | |
| Jul 19, 2019 at 20:30 | comment | added | Ceph | This answer doesn't seem to shed much light on why the OOB score is not serving as a more accurate estimate of the test error -- which seems to me to be OP's question. | |
| Sep 13, 2017 at 12:38 | history | answered | PhilippPro | CC BY-SA 3.0 |