Neighborhood Rough Set Reduction-Based Gene Selection and Prioritization for Gene Expression Profile Analysis and Molecular Cancer Classification

Table 2

Classification accuracy, sensitivity and specificity on all the test datasets by the ensemble classifier.

Dataset	𝛿 value (the number of genes in the selected gene subset)
ALL	0.32(8)	0.35(9)	0.44(13)	0.47(14)	0.66(20)	integration
Accuracy	89.00	92.00	93.00	94.00	93.00	95.00
Breast	0.04(2)	0.21(2)	0.29(2)	0.30(2)	0.69(3)	integration
Accuracy	86.36	90.91	90.91	90.91	95.45	90.91
Sensitivity	100.00	100.00	100.00	100.00	93.33	100.00
Specificity	57.14	71.43	71.43	71.43	100.00	71.43
Colon	0.03(2)	0.04(2)	0.82(6)	0.92(3)	0.13(2)	integration
Accuracy	70.00	75.00	75.00	80.00	75.00	75.00
Sensitivity	75.00	75.00	75.00	83.33	75.00	75.00
Specificity	62.50	75.00	75.00	75.00	75.00	75.00
Prostate	0.13(4)	0.20(5)	0.26(5)	0.57(5)	0.62(5)	integration
Accuracy	94.12	91.18	88.24	88.24	97.06	91.18
Sensitivity	100.00	100.00	100.00	100.00	100.00	100.00
Specificity	92.00	88.00	84.00	84.00	96.00	88.00