Table 3.

Comparison of sensitivity, specificity, F1-index and area under the for training and test samples

Model		Sensitivity	specificity	F1 score	AUC(CI)
Random Forest	Train	0.98	0.27	0.94	0.86(0.84,0.88)
	Test	0.99	0.23	0.93	0.89(0.84,0.94)
Decision Tree	Train	0.97	0.52	0.95	0.94(0.92,0.95)
	Test	0.95	0.36	0.92	0.73(0.64,0.82)