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. 2020 Sep 4;15(9):e0238199. doi: 10.1371/journal.pone.0238199

Table 3. Performance metrics of algorithms.

Algorithms Accuracy Precision Recall Specificity ROC AUC Average Precision
Bagged Decision Trees 86.2% 69.2% 70.6% 90.8% 92.6% 0.81
Random Forest 80.8% 54.7% 92.2% 77.5% 90.2% 0.73
Extra Trees 72.8% 44.7% 82.4% 69.9% 86.0% 0.69
AdaBoost 84.4% 65.4% 66.7% 89.6% 85.7% 0.71
Gradient Boosting 82.6% 59.7% 72.5% 85.5% 88.5% 0.70
NN MLP 90.2% 62.5% 20.8% 98.5% 84.6% 0.44