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Table 2 The classification accuracy obtained by elm with different gene subsets selected by the sc-ipso-elm method on the six microarray data

From: A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization

Data

Selected gene subsets

5-fold CV Accuracy Mean(%) ±std

Test Accuracy Mean(%) ±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

 

42335,2642,1843,4050

100 ±0.00

100 ±0.00

Brain cancer

1091,798,337

90.14 ±0.036

89.62 ±0.025

 

3052,973,3041,3692,4796

92.00 ±0.023

91.78 ±0.046

 

4628,7129,7045,4413,798

92.29 ±0.020

90.22 ±0.022

 

7129,2881,3052,865,1970,2935,4871

92.78 ±0.012

91.88 ±0.019

Colon

14,1976,1325,1993,1870,1892,653,1917,187,22,1209,1060

93.63 ±0.025

97.27 ±0.013

 

377,792,14,1976,765,187,251,1110,175,53,1293,1740,200

93.00 ±0.035

98.06 ±0.013

 

792,1423,14,1976,1909,1110,1589,102,107,1916,175,1151

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

1765,2779,2841,1474,2045,3191,2763,2817,525,1630

98.27 ±0.014

93.33 ±0.011

 

525,1493,607,2763,792,580,867,368,3279,2158,1225

98.39 ±0.023

93.47 ±0.012

 

1765,883,2763,792,580,867,985,3279,2988,2045,814

98.67 ±0.021

93.60 ±0.019

 

1765,525,2763,2841,1474,2583,867,985,2045,814,918

98.67 ±0.019

94.01 ±0.024

Lymphoma

152,2347,2650,5679,438,1855,5863

90.60 ±0.023

85.11 ±0.020

 

1855,2828,152,2437,806,530,1102

92.36 ±0.027

89.33 ±0.019

 

5279,4687,4940,5449,1133,1855,4519

93.51 ±0.022

90.47 ±0.029

 

152,2437,4829,2828,6441,806,2508

93.79 ±0.020

90.45 ±0.023