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Table 3 Area under the curve values for GLM and BDN models

From: Spatial prediction of malaria prevalence in Papua New Guinea: a comparison of Bayesian decision network and multivariate regression modelling approaches for improved accuracy in prevalence prediction

  AUC values
P. falciparum P. vivax
GLM village level cross-validation AUC values Training dataset Test dataset Training dataset Test dataset
0.83 0.49 0.87 0.56
BDN village level cross-validation AUC values Training dataset Test dataset Training dataset Test dataset
0.74 0.75 0.74 0.76
  1. Area under the curve (AUC) results of Receiver Operating Characteristic (ROC) cross validation for generalised linear regression (GLM) models and Bayesian decision network (BDN) models