Machine learning augmented diagnostic testing to identify sources of variability in test performance
Fig 2
(A) Proportion (%) of herds by area that had a negative SICCT test result, but were correctly predicted by the diagnostic model to have a confirmed breakdown, over the year 2020.
(B) Proportion of herd tests by area that were misclassified by the model in the year 2020.