Method / resourcemodel-written summary

open-source model after normalization at 90:10 had adjusted R² 1.00.

A claim from Implementation of machine learning for predicting maize crop yields using multiple linear regression and backward elimination / Stephen Gbenga Fashoto … [et al.] · 2021

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

open-source model after normalization at 90:10 had adjusted R² 1.00.

Taxon
maizeZea mayst0
Outcome
adjusted R²e0
Value
1.00e0
Qualifier
90:10e0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“adjusted R² values were 0.784 (at 70:30), 0.849 (at 80:20), and 0.878 (at 90:10) before being normalized, 1.00 across the board after normalization, and 0.846 (at 70:30), 0.886 (at 80:20), and 0.885 (at 90:10) after backward elimination.”

✓ located verbatim in the source · abstract, characters 1001–1238
t0

“maize crop yields”

✓ located verbatim in the source · title, characters 50–67

Title

Implementation of machine learning for predicting maize crop yields using multiple linear regression and backward elimination / Stephen Gbenga Fashoto … [et al.]

Stephen Gbenga Fashoto; Elliot Mbunge; Gabriel Ogunleye; et al. UiTM Institutional Repositories (Universiti Teknologi MARA) 2021

Other claims from this paper (17)

Record rev-7e168ddab4b3e85f789ca001ff742d060cc8ab6dc679fb76a282c6650f8e4baf · schema claims-v0.9 · position 6 in the model’s answer