[Retracted] Cancer Categorization Using Genetic Algorithm to Identify Biomarker Genes

Table 3

The performance comparison of SVM kernel functions.

Dataset	No. of genes	Accuracy of SVM with different kernel functions
		Linear	Radial basis	Polynomial	Sigmoid
Colon	5	87.10	87.10	75.81	88.71
	10	85.48	90.32	64.52	88.71
	20	88.71	90.32	64.52	88.71
	30	83.87	90.32	64.52	90.32
	40	87.10	90.32	64.52	90.32
	50	83.87	90.32	64.52	90.32
	60	83.87	88.71	64.52	90.32
	70	80.65	88.71	64.52	88.71
	80	82.26	88.71	64.52	87.10
	90	82.26	88.71	64.52	88.71
	100	82.26	88.71	64.52	88.71
DLBCL outcome	5	82.76	81.03	55.17	68.97
	10	86.21	87.93	55.17	82.76
	15	91.38	98.28	55.17	89.66
	20	91.38	91.38	55.17	87.93
	30	84.48	89.66	58.62	87.93
	40	84.48	89.66	55.17	89.66
	50	87.93	94.83	62.07	86.21
	60	87.93	93.10	55.17	89.66
	70	87.93	91.38	55.17	93.10
	80	86.21	91.38	55.17	87.93
	90	89.66	91.38	55.17	87.93
	100	87.93	93.10	55.17	89.66
Leukemia	5	94.44	100	83.33	98.61
	10	94.44	97.22	93.06	97.22
	20	97.22	97.22	91.67	97.22
	30	95.83	94.44	94.44	97.22
	40	98.61	98.61	94.44	95.83
	50	98.61	95.83	94.44	93.06
	60	98.61	98.61	94.44	95.83
	70	98.61	97.22	91.67	98.61
	80	98.61	98.61	90.28	95.83
	90	98.61	97.22	91.67	95.83
	100	98.61	98.61	90.28	97.22
Prostate	5	87.25	87.25	50.98	86.27
	10	83.33	92.16	50.98	91.18
	20	90.20	97.06	50.98	98.04
	30	95.10	97.06	50.98	91.10
	40	93.14	98.04	50.98	98.04
	50	97.06	98.04	50.98	98.04
	60	97.06	97.06	50.98	99.02
	70	99.02	100	88.24	99.02
	80	100	100	94.11	100
	90	98.04	99.02	97.06	99.02
	100	98.04	100	95.10	99.02