A Novel Efficient Feature Dimensionality Reduction Method and Its Application in Engineering

Table 7

Gene sets selected using the proposed feature dimensionality reduction method with classification accuracy.

Dataset	Selected gene sets	Accuracy of test set (%) ± std	5-fold CV accuracy (%) ± std
Leukemia	4050, 2642, 2121	100 ± 0.00	100 ± 0.00
	4050, 2642, 1882	100 ± 0.00	100 ± 0.00
	4050, 2642, 3258	100 ± 0.00	100 ± 0.00
	2335, 2642, 1843, 4050	100 ± 0.00	100 ± 0.00
Brain cancer	3041, 3052, 3692	94.36 ± 0.043	92.47 ± 0.021
	3052, 973, 3041, 3692, 4796	92.00 ± 0.023	91.78 ± 0.046
	3041, 3052, 1014, 3692	92.42 ± 0.042	92.73 ± 0.026
	7129, 2881, 3052, 865, 1970, 2935, 4871	92.78 ± 0.012	91.88 ± 0.019
Colon	493, 792, 739, 513, 280, 1346, 1334, 1954, 1110, 1563, 223, 175, 1668	97.13 ± 0.028	99.08 ± 0.012
	493, 792, 377, 1976, 280, 1039, 1334, 698, 1110, 1563, 175, 1668, 1617	98.18 ± 0.024	98.34 ± 0.009
	792, 1423, 14, 1976, 1909, 1110, 1589, 102, 107, 1916, 175, 1151, 251	93.73 ± 0.031	98.71 ± 0.013
	792, 14, 1976, 765, 1909, 1524, 1110, 175, 43, 53, 1293, 1740, 251	96.86 ± 0.033	99.05 ± 0.011
SRBCT	742, 1003, 1954, 430, 2050, 123	100 ± 0.00	100 ± 0.00
	545, 1955, 1434, 509, 971, 255	100 ± 0.00	100 ± 0.00
	1003, 545, 1911, 153, 123, 1489, 2161	100 ± 0.00	100 ± 0.00
	1955, 2050, 545, 2144, 2045, 123, 1489	100 ± 0.00	100 ± 0.00
Lung cancer	1765, 2779, 2841, 1474, 2045, 3191, 2763, 2817, 525, 1552, 1630	100 ± 0.00	98.27 ± 0.004
	525, 1493, 607, 2763, 792, 580, 867, 368, 3279, 2158, 1225	100 ± 0.00	98.39 ± 0.003
	1765, 883, 2763, 792, 580, 867, 985, 3279, 2988, 2045, 814	100 ± 0.00	98.67 ± 0.004
	1765, 525, 2763, 2841, 1474, 2583, 867, 985, 2045, 814, 918	100 ± 0.00	98.67 ± 0.00
Lymphoma	5279, 4862, 6965, 2374, 1855, 2060	93.45 ± 0.025	93.39 ± 0.018
	2828, 2437, 152, 1855, 4998, 2416	97.55 ± 0.028	92.62 ± 0.019
	1855, 2828, 152, 2437, 80, 530, 1102	92.30 ± 0.041	92.36 ± 0.029
	5279, 4687, 4940, 5449, 1133, 1855, 4519	90.50 ± 0.031	93.60 ± 0.023