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

Table 8

Tumor disease recognition results of random forest classifier and SVM classifier.

Dataset	Gene sets selected	Random forest classifier (%) ± std	SVM classifier (%) ± std
Leukemia	4050, 2642, 2121	98.06 ± 0.72	100 ± 0.00
	4050, 2642, 1882	95.56 ± 1.10	99.44 ± 0.72
	4050, 2642, 3258	96.39 ± 1.34	98.75 ± 0.79
	2335, 2642, 1843, 4050	96.53 ± 1.18	97.50 ± 0.88
Brain cancer	3041, 3052, 3692	82.65 ± 3.15	65.48 ± 5.18
	3052, 973, 3041, 3692, 4796	81.75 ± 3.52	72.75 ± 3.88
	3041, 3052, 1014, 3692	82.68 ± 3.28	75.83 ± 3.76
	7129, 2881, 3052, 865, 1970, 2935, 4871	82.20 ± 3.42	84.95 ± 3.28
Colon	493, 792, 739, 513, 280, 1346, 1334, 1954, 1110, 1563, 223, 175, 1668	85.32 ± 2.99	94.52 ± 2.18
	493, 792, 377, 1976, 280, 1039, 1334, 698, 1110, 1563, 175, 1668, 1617	79.52 ± 0.038	90.16 ± 2.46
	792, 1423, 14, 1976, 1909, 1110, 1589, 102, 107, 1916, 175, 1151, 251	83.55 ± 5.03	93.55 ± 2.74
	792, 14, 1976, 765, 1909, 1524, 1110, 175, 43, 53, 1293, 1740, 251	85.65 ± 3.52	94.35 ± 2.77
SRBCT	742, 1003, 1954, 430, 2050, 123	94.12 ± 2.17	99.26 ± 0.52
	545, 1955, 1434, 509, 971, 255	95.41 ± 1.78	98.94 ± 1.04
	1003, 545, 1911, 153, 123, 1489, 2161	94.72 ± 1.72	97.63 ± 1.15
	1955, 2050, 545, 2144, 2045, 123, 1489	94.78 ± 1.64	98.01 ± 1.10
Lung cancer	1765, 2779, 2841, 1474, 2045, 3191, 2763, 2817, 525, 1552, 1630	94.91 ± 0.91	98.74 ± 0.33
	525, 1493, 607, 2763, 792, 580, 867, 368, 3279, 2158, 1225	94.26 ± 1.12	98.55 ± 0.48
	1765, 883, 2763, 792, 580, 867, 985, 3279, 2988, 2045, 814	94.83 ± 1.03	99.16 ± 0.31
	1765, 525, 2763, 2841, 1474, 2583, 867, 985, 2045, 814, 918	94.52 ± 1.00	99.18 ± 0.43
Lymphoma	5279, 4862, 6965, 2374, 1855, 2060	79.22 ± 3.61	83.71 ± 2.67
	2828, 2437, 152, 1855, 4998, 2416	73.19 ± 4.06	78.98 ± 3.03
	1855, 2828, 152, 2437, 80, 530, 1102	72.76 ± 4.65	71.57 ± 3.63
	5279, 4687, 4940, 5449, 1133, 1855, 4519	73.24 ± 4.50	75.47 ± 3.56