Table 2.

Metrics of recognition capability according to number of leads.

	12 lead	9 lead	7 lead	Limb lead	Prec. lead	P value
Sensitivity	0.86 ± 0.07	0.88 ± 0.07	0.75 ± 0.10	0.65 ± 0.09	0.81 ± 0.09	<0.0001
Specificity	0.76 ± 0.07	0.71 ± 0.10	0.81 ± 0.10	0.86 ± 0.07	0.74 ± 0.09	0.0047
PPV	0.79 ± 0.05	0.76 ± 0.07	0.80 ± 0.08	0.82 ± 0.06	0.76 ± 0.06	0.13
NPV	0.85 ± 0.07	0.87 ± 0.08	0.77 ± 0.07	0.71 ± 0.05	0.80 ± 0.06	<0.0001
F1	0.82 ± 0.04	0.81 ± 0.05	0.77 ± 0.07	0.72 ± 0.06	0.78 ± 0.05	0.0021
Accuracy	0.81 ± 0.04	0.80 ± 0.06	0.78 ± 0.07	0.75 ± 0.05	0.77 ± 0.04	0.10
Loss	1.56 ± 0.31	1.50 ± 0.19	1.41 ± 0.23	1.44 ± 0.18	1.41 ± 0.20	0.55
AUC	0.88 ± 0.05	0.88 ± 0.04	0.86 ± 0.05	0.85 ± 0.05	0.87 ± 0.04	0.45
Accuracy (training)	0.89 ± 0.06	0.91 ± 0.05	0.88 ± 0.06	0.88 ± 0.04	0.88 ± 0.03	0.39
AUC (training)	0.97 ± 0.03	0.98 ± 0.02	0.96 ± 0.03	0.96 ± 0.03	0.97 ± 0.01	0.29
Accuracy (validation)	0.85 ± 0.06	0.85 ± 0.06	0.82 ± 0.05	0.82 ± 0.03	0.82 ± 0.03	0.40
AUC (validation)	0.93 ± 0.05	0.93 ± 0.05	0.91 ± 0.06	0.92 ± 0.05	0.92 ± 0.05	0.89