. 2015 Jul 3;29(1):104–114. doi: 10.1007/s10278-015-9807-3

Table 2.

Classification performance for Fixed- and Ground Truth-Size ROIs from DDSM database

Sr. no.	Size of ROI	AD	Non-AD	Kernel	Confusion matrix		Sensitivity (%)	Specificity (%)	Accuracy (%)	A _z	F-score	Y index
1	Fixed size	60	25	Linear	55(TP)	05(FP)	91.66	80	88.23	0.91	0.91	0.71
1	Fixed size	60	25	Linear	05(FN)	20(TN)	91.66	80	88.23	0.91	0.91	0.71
2	Fixed size	60	25	RBF	58(TP)	06(FP)	96.66	76	90.58	0.95	0.93	0.72
2	Fixed size	60	25	RBF	02(FN)	19(TN)	96.66	76	90.58	0.95	0.93	0.72
3	Fixed size	60	25	Polynomial	56(TP)	02(FP)	93.33	92	92.94	0.95	0.94	0.85
3	Fixed size	60	25	Polynomial	04(FN)	23(TN)	93.33	92	92.94	0.95	0.94	0.85
4	Ground truth	60	25	Linear	34(TP)	0(FP)	56.66	100	69.4	0.88	0.72	0.56
4	Ground truth	60	25	Linear	26(FN)	25(TN)	56.66	100	69.4	0.88	0.72	0.56
5	Ground truth	60	25	RBF	53(TP)	05(FP)	88.33	80	85.88	0.89	0.89	0.68
5	Ground truth	60	25	RBF	07(FN)	20(TN)	88.33	80	85.88	0.89	0.89	0.68
6	Ground truth	60	25	Polynomial	52 TP)	03(FP)	86.66	88	87.05	0.91	0.90	0.74
6	Ground truth	60	25	Polynomial	08(FN)	22(TN)	86.66	88	87.05	0.91	0.90	0.74