Claim · model-written summary
Random Forest predicted Lobetyolin quality at 100.0% accuracy.
- Taxon
- Codonopsis Radixe0
- Outcome
- prediction accuracies for Lobetyoline1
- Value
- 100.0%e1
- Qualifier
- Random Forest algorithmse1
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection
Verbatim
e0“endophytic community of Codonopsis Radix”
e1“achieving 100.0% and 85.7% prediction accuracies for Lobetyolin and Atractylenolide III respectively, using Random Forest algorithms”
Title
Yingjie Liu; Yuqing Niu; Zhongkun Zhou; et al. Plant Physiology and Biochemistry 2025. doi:10.1016/j.plaphy.2025.109888
Other claims from this paper (8)
- Association Planting environment significantly shaped the Codonopsis endophytic community.
- Association Bifidobacteriaceae had one of the strongest correlations with Codonopsis bioactive components.
- Association Muribaculaceae had one of the strongest correlations with Codonopsis bioactive components.
- Association Monolobus was associated with Lobetyolin.
- Association Bradyrhizobium was associated with Atractylenolide III.
- Association Monolobus correlated significantly with a key biosynthetic pathway.
- Association Bradyrhizobium correlated significantly with a key biosynthetic pathway.
- Method / resource Random Forest predicted Atractylenolide III quality at 85.7% accuracy.