Table 2.

AUCs of L1L2 regularized logistic regression models using the top four features extracted from RR intervals. Values shown are medians across sub-samples and IQR bounds in brackets.

	Train AUC		Test AUC
	No RR cleaning	RR cleaning	No RR cleaning	RR cleaning
24 h	0.74 [0.73 0.78]	0.73 [0.69 0.74]	0.66 [0.45 0.66]	0.67 [0.62 0.71]
Random segments	0.70 [0.66 0.76]	0.76 [0.72 0.77]	0.61 [0.50 0.64]	0.72 [0.62 0.77]
Quiescent segments	0.85 [0.84 0.88]	0.85 [0.83 0.88]	0.81 [0.70 0.84]	0.86 [0.75 0.88]