Table 3 |
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|
Number of false positives and true positives at different levels of consensus from best micro-averaged runs of the 20 teams |
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| Votes |
Count FP |
Count TP |
Precision |
Recall |
F-measure |
|
|
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| 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 |
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|
|
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|
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. |
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|
Morgan et al. Genome Biology 2008 9(Suppl 2):S3 doi:10.1186/gb-2008-9-s2-s3 |
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