Table 3

Number of false positives and true positives at different levels of consensus from best micro-averaged runs of the 20 teams

Votes

Count FP

Count TP

Precision

Recall

F-measure


20

1

86

0.989

0.110

0.197

19

3

204

0.986

0.260

0.411

18

7

288

0.976

0.367

0.533

17

8

359

0.978

0.457

0.623

16

11

421

0.975

0.536

0.692

15

13

470

0.973

0.599

0.741

14

15

513

0.972

0.654

0.781

13

19

555

0.967

0.707

0.817

12

30

572

0.950

0.729

0.825

11

42

599

0.934

0.763

0.840

10

51

623

0.924

0.794

0.854

9

77

644

0.893

0.820

0.855

8

103

667

0.866

0.850

0.858

7

130

685

0.840

0.873

0.856

6

160

704

0.815

0.897

0.854

5

221

714

0.764

0.910

0.830

4

304

721

0.703

0.918

0.797

3

435

743

0.631

0.946

0.757

2

713

751

0.513

0.957

0.668

1

2522

763

0.232

0.972

0.375

Total

785


The table shows cumulative number of false positives and true positives (columns 2 and 3) obtained for a given level of consensus (column 1) from the top micro-averaged run of each team. Recall, precision, and F-measure were calculated using the consensus level as the minimum number of votes needed to include an identifier as an 'answer'. The total under True Positive Count indicates that there were 22 true positives that no system identified; see additional data file 3 for a listing of these.

Morgan et al. Genome Biology 2008 9(Suppl 2):S3   doi:10.1186/gb-2008-9-s2-s3

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