Table 9.

Variations in overall accuracy values of hybrid learning classifier with desired sparsity level ($\rho$) and the number of nearest neighbors (nn) for validation and test sets for wake vs. S1-sleep vs. S2-sleep vs. S3-sleep vs. S4-sleep vs. REM classification scheme.

Sparsity Level	Nearest Neighbors	Overall Accuracy (%)
$\rho$	nn	Validation Set	Test Set
2	1	37.96	39.78
4	2	56.11	56.87
6	3	60.67	62.08
8	4	65.38	65.97
10	5	65.62	68.04
12	6	69.38	70.11
14	7	69.70	71.01
16	8	70.12	70.97
18	9	70.18	72.48
20	10	72.18	72.72
22	11	71.54	71.66