Timeline for XGBoost model has features whose feature importance equal zero
Current License: CC BY-SA 4.0
3 events
| when toggle format | what | by | license | comment | |
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| Jan 27, 2022 at 12:19 | comment | added | Ashwiniku918 | This is more on how it is implemented, i agree with what you are saying that 60 should not be used but in XGBoost or any implementation all variables are selected and needed for final prediction | |
| Jan 27, 2022 at 12:17 | comment | added | leveygao | ...say I have a pool of 1000 features, then I trained a model by narrowing to 100 features; but amoung 100, 60 are with 0 importance---- so why are these 60 vars selected in the finalized model file, since they don't actually appear in splits? | |
| Jan 27, 2022 at 11:18 | history | answered | Ashwiniku918 | CC BY-SA 4.0 |