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Table 6 Classification for WTCCC study.

From: MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study

Chromosome

Picked SNPs

Total SNPs

Prediction Accuracy

Randomized test accuracy

1

154

39,428

0.947

0.512

2

109

40,641

0.968

0.565

3

153

33,121

0.932

0.523

4

127

31,343

0.926

0.486

5

151

31,601

0.905

0.498

6

130

31,133

0.915

0.546

7

126

25,412

0.938

0.553

8

109

26,954

0.927

0.523

9

143

23,246

0.905

0.552

10

125

28,222

0.881

0.482

11

132

26,005

0.905

0.516

12

113

24,721

0.887

0.492

13

86

18,913

0.896

0.504

14

94

15,436

0.865

0.511

15

112

14,192

0.911

0.504

16

115

15,070

0.903

0.532

17

101

11,128

0.887

0.513

18

135

14,633

0.893

0.522

19

85

6,286

0.885

0.540

20

106

12,266

0.874

0.503

21

80

7,014

0.892

0.496

22

76

6,124

0.924

0.533

OVERALL

223

451,288

0.926

0.513

  1. The classification performance of MegaSNPHunter on WTCCC study.