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Four machine learning models for asymptomatic infection risk assessment. (a) Decision linear model, (b) Multilayer perceptron, (c) Random forest, (d) Support vector classifier. In each model, confusion matrix at bottom right represented performance. AUC: area under the curve; TP: true positive; FP: false positive; FN: false negative; TN: true negative. Sensitivity = TP/(TP + FN). Specificity = TN/(TN + FP).
