XGBoost performed poorly on unseen fields or years, whereas the Extra Tree regressor was a more reliable model for predicting missing data.

Claim · model-written summary

XGBoost performed poorly on unseen fields or years, whereas the Extra Tree regressor was a more reliable model for predicting missing data.

Taxon

Zea mays L.Zea mayse0

Outcome

unseen fields or yearse3

Direction

performed poorlye3

Qualifier

XGBooste3

Comparator

Extra Tree regressore3

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim

e0

“Corn (Zea mays L.) silage yield monitor data offer crucial insights into spatial and temporal yield variability”

e3

“However, XGBoost performed poorly when applied to unseen fields or years, whereas Extra Tree regressor, followed closely by Random Forest, emerged as a more reliable model for predicting missing data”