Testing F1 score was 89%.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Outcome: F1-Scoree0
Value: 89%e0

Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier

Verbatim

e0
“F1-Score 89%”
✓ located verbatim in the source · abstract, characters 913–925

Title

ABILITY CONVOLUTIONAL FEATURE EXTRACTION FOR CHILI LEAF DISEASE USING SUPPORT VECTOR MACHINE CLASSIFICATION

Rizal Amegia Saputra; Toto Haryanto; Sri Wasyianti Jurnal Pilar Nusa Mandiri 2024. doi:10.33480/pilar.v20i1.4961

Other claims from this paper (7)

Method / resource Training accuracy for chili leaf disease classification was 95%.
Method / resource Training precision was 95%.
Method / resource Training recall was 95%.
Method / resource Training F1 score was 95%.
Method / resource Testing accuracy was 90%.
Method / resource Testing precision was 89%.
Method / resource Testing recall was 90%.

Record rev-3c47564cfdbeccf14b2baab4b4ba9d0395c266493daff793f268143c0a664cc8 · schema claims-v0.9 · position 8 in the model’s answer