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Table 3 Performance of the models computed using tenfold cross-validation

From: Bayesian network models with decision tree analysis for management of childhood malaria in Malawi

Performance metric Threshold Manual BN TAN Logistic regression Random forest
Area under ROC curve (AUC) 0.60 0.58 0.57 0.57
Balanced accuracy (BAC) Default 0.56 0.53 0.50 0.50
Sensitivity Default 0.32 0.22 0.07 0.03
Specificity Default 0.80 0.84 0.93 0.97
Balanced accuracy (BAC) Optimal 0.58 0.57 0.57 0.57
Sensitivity Optimal 0.74 0.45 0.59 0.52
Specificity Optimal 0.42 0.68 0.55 0.62