Table 4.

Model performance evaluation

Evaluation metrics	Logistic Regression (LR)	Random Forest (RF)	Artificial Neural Networks (ANN)
Accuracy	0.785	0.86	0.781
Sensitivities	0.762	0.571	0.857
Specificity	0.787	0.889	0.773
AUC	0.775	0.73	0.828

AUC: area under the receiver operating characteristic curve.