Claim · model-written summary
The SOA-XGB model achieved an accuracy of 0.9213 ± 0.0148 in the four-class origin discrimination of Fructus Aurantii.
- Taxon
- Citrus aurantium
Citrus ×aurantiume0
- Outcome
- accuracye1
- Value
- 0.9213 ± 0.0148e1
- Qualifier
- four-class origin discrimination taske1
Not reportedComparator
Verbatim
e0“the dried processed product of Citrus aurantium L.”
e1“The SOA-XGB model achieved an accuracy of 0.9213 ± 0.0148 in the four-class origin discrimination task”
Title
Mingkun Zhang; Chao Ma; Jianwei Ma; et al. Journal of Food Composition and Analysis 2026. doi:10.1016/j.jfca.2026.109333
Other claims from this paper (4)
- Observation The SOA-XGB model maintained stable performance on the external validation set.
- Method / resource A limited number of informative wavelengths could achieve performance close to that of the full-band model.
- Method / resource Wavelengths around 570–730 nm and 850–980 nm contributed notably to the model decisions for Fructus Aurantii origin.
- Observation The Vis/NIR imaging approach is rapid, non-destructive and reliable for Fructus Aurantii geographical origin discrimination.