Table 3.

Comparison of the Eight Machine Learning Algorithms Using Different Performance Indicators

Algorithms	Accuracy	Sensitivity	Specificity	AUC	Precision
Random forest	0.87	0.88	0.85	0.96	0.89
Support vector machine	0.86	0.92	0.78	0.89	0.84
K-nearest neighbors	0.73	0.61	0.88	0.73	0.88
Logistic regression	0.81	0.84	0.77	0.89	0.84
Linear discriminant analysis	0.81	0.84	0.78	0.89	0.83
Lasso regression	0.84	0.86	0.83	0.91	0.88
Decision tree	0.80	0.82	0.78	0.81	0.82
Multilayer perceptron neural network	0.52	0.80	0.20	0.51	0.44

The number in bold indicates the highest value obtained for each performance indicator.