Method / resourcemodel-written summary

The model had a validation coefficient of determination of 0.98.

A claim from Multilayer Perceptron Neural Network Approach to Estimate Chlorophyll Concentration Index of Lettuce (Lactuca sativaL.) · 2016

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The model had a validation coefficient of determination of 0.98.

Taxon
LettuceLactuca sativat0
Outcome
coefficient of determinatione0
Value
0.98e0
Qualifier
validation processe0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection

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

Lactuca sativa
Lactuca sativa · Taxonen:User:Geographer · CC BY 1.0 · Wikimedia Commons ↗

Verbatim

e0

“The coefficient of determination was 0.98, and mean square error was 0.006 in validation process.”

✓ located verbatim in the source · abstract, characters 907–1004
t0

“Lettuce”

✓ located verbatim in the source · title, characters 93–100

Title

Multilayer Perceptron Neural Network Approach to Estimate Chlorophyll Concentration Index of Lettuce (Lactuca sativaL.)

Mehmet Serhat Odabas; Halis Simsek; Chiwon W. Lee; et al. Communications in Soil Science and Plant Analysis 2016. doi:10.1080/00103624.2016.1253726

Other claims from this paper (2)

Record rev-decf8a55920e95193149bf00b9fb776651fe9950d4cda812d2f085ae45cd8438 · schema claims-v0.9 · position 2 in the model’s answer