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

Table 4.

ML model results for the three test subsets.

Model Accuracy Sensitivity Specificity AUC *
DT 0.70 ± 0.040 0.79 ± 0.001 0.39 ± 0.037 0.60 ± 0.005
RF 0.74 ± 0.069 0.83 ± 0.001 0.42 ± 0.025 0.67 ± 0.008
LR 0.64 ± 0.011 0.64 ± 0.006 0.71 ±0.054 0.69 ± 0.017
SVM 0.64 ± 0.001 0.72 ± 0.001 0.40 ± 0.030 0.56 ± 0.013
MLP 0.77 ±0.004 0.93 ±0.003 0.25 ± 0.017 0.71 ±0.009
*

AUC, Area Under Receiver Operative Curve. The bold values are the highest values for each column.