Deep Layer Kernel Sparse Representation Network for the Detection of Heart Valve Ailments from the Time-Frequency Representation of PCG Recordings

Table 3

Results of the classification using the DLKSRN classifier with ten-fold CV.

HVDs	Measures (%)	Fold 1	Fold 2	Fold 3	Fold 4	Fold 5	Fold 6	Fold 7	Fold 8	Fold 9	Fold 10	Average
N	Precision	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0
	Sensitivity	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0
	Specificity	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0
	-score	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0
MS	Precision	100.0	90.90	100.0	95.23	100.0	95.23	95.23	100.0	100.0	100.0
	Sensitivity	100.0	100.0	95.00	100.0	100.0	100.0	100.0	100.0	100.0	100.0
	Specificity	98.75	98.75	100.0	98.73	100.0	100.0	100.0	98.75	100.0	98.73
	-score	100.0	95.23	100.0	97.56	100.0	97.56	100.0	97.43	97.56	100.0
MR	Precision	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0
	Sensitivity	100.0	95.00	90.00	95.00	100.0	100.0	100.0	100.0	100.0	100.0
	Specificity	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0
	-score	100.0	97.43	100.0	97.43	100.0	100.0	100.0	100.0	94.73	100.0
AS	Precision	100.0	100.0	95.23	100.0	100.0	95.00	100.0	100.0	100.0	100.0
	Sensitivity	100.0	100.0	100.0	100.0	95.00	100.0	100.0	100.0	95.00	100.0
	Specificity	100.0	100.0	100.0	98.73	100.0	100.0	100.0	97.46	100.0	100.0
	-score	94.73	100.0	97.56	100.0	100.0	100.0	100.0	100.0	100.0	97.56
MVP	Precision	95.23	100.0	100.0	95.00	100.0	95.23	100.0	95.23	100.0	100.0
	Sensitivity	100.0	100.0	95.00	100.0	100.0	100.0	95.00	95.00	100.0	100.0
	Specificity	100.0	100.0	98.75	100.0	97.50	100.0	100.0	100.0	100.0	98.73
	-score	95.23	97.43	97.43	100.0	100.0	97.43	100.0	97.56	97.56	97.43
All	OA	100.0	99.33	99.04	100.0	100.0	98.05	98.11	99.25	99.86	98.84