Method / resourcemodel-written summary

combined model after backward elimination at 70:30 had adjusted R² 0.967.

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

combined model after backward elimination at 70:30 had adjusted R² 0.967.

Taxon
maizeZea mayst0
Outcome
adjusted R²e0
Value
0.967e0
Qualifier
70:30e0

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 0.966 (at 70:30), 0.972 (at 80:20), and 0.978 (at 90:10) before being normalized, 1.00 across the board after normalization, and 0.967 (at 70:30), 0.973 (at 80:20), and 0.978 (at 90:10) after backward elimination.”

✓ located verbatim in the source · abstract, characters 1464–1701
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-e93086e9f7d94814b5d18c3d7c658ede9e379987758a325bbec1af09abba5161 · schema claims-v0.9 · position 16 in the model’s answer