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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.