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Table 5 Classification for Parkinson 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

242

31,532

0.852

0.505

2

247

32,706

0.874

0.516

3

218

27,691

0.874

0.517

4

174

24,193

0.835

0.511

5

188

24,570

0.878

0.507

6

204

26,372

0.857

0.501

7

278

21,382

0.821

0.498

8

254

22,434

0.845

0.508

9

243

19,542

0.841

0.505

10

227

20,007

0.841

0.507

11

247

19,539

0.854

0.513

12

230

19,572

0.806

0.506

13

156

14,123

0.784

0.502

14

224

12,645

0.824

0.509

15

212

11,618

0.786

0.518

16

225

11,767

0.793

0.496

17

202

11,619

0.778

0.507

18

252

12,613

0.793

0.507

19

165

8,608

0.802

0.5

20

186

10,375

0.806

0.512

21

130

6,612

0.758

0.497

22

126

7,071

0.782

0.506

OVERALL

339

396,588

0.913

0.503

  1. The classification performance of MegaSNPHunter on Parkinson study.