Table 3.

Comparative Performance on blindtest sets between BRCA1/2 classification models and other alternative predictors.

	Methods	ACC	MCC	Sens	Spec	ROC-AUC
BRCA1	SIFT10	0.67	0.62	76%	64%	0.81
	PolyPhen-213	0.68	0.41	68%	59%	0.71
	Align-GVGD19,20	0.48	0.18	48%	26%	0.64
	REVEL13	0.41	0.18	41%	20%	0.54
	CADD40	0.74	0.58	74%	59%	0.80
	Our model	0.86	0.89	92%	82%	0.95
BRCA1-combined	SIFT10	0.67	0.62	76%	64%	0.81
	PolyPhen-213	0.68	0.41	68%	59%	0.71
	Align-GVGD19,20	0.40	0.18	38%	23%	0.64
	REVEL13	0.41	0.18	41%	21%	0.54
	CADD40	0.74	0.58	73%	59%	0.80
	Our model	0.94	0.89	100%	91%	0.95
BRCA2	SIFT10	0.62	0.42	62%	52%	0.76
	PolyPhen-213	0.58	0.40	58%	48%	0.74
	Align-GVGD19,20	0.39	0.34	38%	24%	0.62
	REVEL13	0.84	0.51	85%	86%	0.82
	CADD40	0.58	0.58	58%	48%	0.74
	Our model	0.92	0.89	60%	100%	0.98
BRCA2-combined	SIFT10	0.74	0.51	74%	70%	0.85
	PolyPhen-213	0.69	0.46	69%	64%	0.82
	Align-GVGD19,20	0.46	0.28	46%	36%	0.68
	REVEL13	0.87	0.61	86%	88%	0.86
	CADD40	0.74	0.58	74%	70%	0.85
	Our model	0.97	0.83	86%	100%	0.98
BRCA1/2-general model	SIFT10	0.69	0.52	69%	59%	0.79
	PolyPhen-213	0.65	0.47	65%	54%	0.77
	Align-GVGD19,20	0.44	0.19	44%	30%	0.59
	REVEL13	0.82	0.64	82%	78%	0.86
	CADDyyy40	0.69	0.58	69%	59%	0.79
	Our model	0.92	0.76	93%	100%	0.95