Table 4

Accuracies of scoring criteria on most difficult models

Scoring Criterion

200

400

800

1600

Total


1

scoreα = 54

14

48

167

352

581


2

scoreα = 162

1

21

146

355

563


3

scoreα = 36

13

46

155

318

532


4

scoreα = 21

12

43

106

289

450


5

scoreα = 18

11

37

91

274

413


6

scoreMDR

3

25

79

245

352


7

scoreα = 12

7

25

65

215

312


8

scoreAIC2

16

33

80

138

267


9

scoreα = 9

5

20

48

186

259


10

ScoreEpi1

4

16

47

179

246


11

scoreMML1

2

7

23

140

172


12

scoreα = 3

3

6

13

86

108


13

scoreEpi2

0

1

4

72

77


14

scoreSuz1

0

1

2

41

44


The number of times out of 500 that each scoring criterion correctly learned the correct model in the case of the most difficult models (55-59) for sample sizes of 200, 400, 800, and 1600. The last column gives the total accuracy over all sample sizes. The scoring criteria are listed in descending order of accuracy.

Jiang et al. BMC Bioinformatics 2011 12:89   doi:10.1186/1471-2105-12-89

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