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. 2022 Jul 26;10:876949. doi: 10.3389/fpubh.2022.876949

Figure 2.

Figure 2

Sensitivity, accuracy, and specificity for all five ML models: (A) Logistic regression; (B) Classification tree; (C) Random forest; (D) Support vector machine; (E) Multilayer perceptron neural network. For all ML models is visualized the effect of using or not each one of the considered variables in terms of sensitivity (blue), specificity (green) and accuracy (orange). There it is possible to see how the metrics change, according to the inclusion or exclusion of the seven variables.