Table 2.

Forecast results for invalidation of machine learning algorithms.

Algorithms	AUC	Accuracy (%)	Sensitivity (%)	Specificity (%)
RF	0.90	82.65	83.33	81.58
Logistic regression	0.83	79.59	78.33	81.58
SVM	0.88	83.67	86.67	78.95
GBM	0.88	83.67	95.00	65.79

RF: random forest; SVM: support vector machine; GBM: gradient boosting machine.