TABLE 9. Performance Comparison of Various Machine Learning Models for Test Set.

	SVM (Linear)	SVM (RBF)	RF	GBDT
Accuracy	70.4%	71.0%	69.5%	68.9%
Specificity	70.2%	70.8%	70.5%	70.8%
Sensitivity	72.2%	72.2%	61.1%	52.8%
Precision	22.2%	22.6%	19.6%	17.6%
F1-score	34.0%	34.4%	29.7%	26.4%
ROC AUC	0.777	0.780	0.710	0.683
PR AUC	0.295	0.297	0.300	0.330
True Negative	214	216	215	216
False Negative	10	10	14	17
False Positive	91	89	90	89
True Positive	26	26	22	19