Table 4.

Comparative results of the deep-learning model with shallow machine-learning models.

Algorithm	F1-score	Accuracy	AUCa
Naïve Bayes	90.83	87.47	0.987
Decision tree	85.10	74.07	0.50
k-nearest neighbor	46.53	48.39	0.829
General linear model	89.34	82.38	0.904
Support vector machine	86.96	77.79	0.983
Deep learning (MLPb)	93.17	90.20	0.967

^aAUC: area under the receiver operating characteristic curve.

^bMLP: multilayer perceptron.