Timeline for XGBoost Classifier not capturing extreme probabilities
Current License: CC BY-SA 4.0
2 events
| when toggle format | what | by | license | comment | |
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| Mar 8, 2022 at 21:59 | comment | added | Ben Reiniger | This kind of shift is useful when the prior class distribution is different from the one trained on, e.g. when resampling before modeling. I'm not sure that's the case in this Question? | |
| Mar 8, 2022 at 21:26 | history | answered | ljubomir | CC BY-SA 4.0 |