Table 2.

Model performance metrics.

Model	Accuracy after CV	TN	FP	FN	TP	AUROC score
LR	95.11%	972	0	50	0	0.84
Gradient boosting	94.9%	968	4	49	1	0.82
SVM	95.12%	972	0	50	0	0.60
RF	94.95%	970	2	50	0	0.80
KNN	94.18%	969	3	49	1	0.61