Figure 3
From: A Bayesian method for comparing and combining binary classifiers in the absence of a gold standard
Conditional dependencies of the model. The dependencies of parameters in the model. ϕis the proportion of the population that is positive for the feature of interest, T n is the true classification of individual n, α k and β k are the probabilities of a true positive and a false positive (respectively) for classifier k, and C kn is the classification of individual n according to classifier k.